Staff Data Engineer Resume Sample
Hayley Predovic
51936 Justine Mountains,
Dallas,
TX
+1 (555) 257 4817
Work Experience
Senior Staff Data Streaming Analytics Engineer
01/2016
-
PRESENT
San Francisco, CA
- Strong knowledge of Object Oriented Analysis and Design, Software Design Patterns
- Design and develop scalable data pipelines for optimal ingestion, transformation, storage and computation using latest big data technologies
- Work with data science team to develop, deliver and validate solutions that meet the analytics and machine learning requirements
- Design, develop and maintain automated ETL processes for efficient batch records-matching of multiple large-scale datasets
- Translate complex business requirements into a scalable, efficient and high availability data platform
- Work with business teams/engineers to define instrumentation and data requirements
- Lead projects independently and also mentor other engineers in the team
- Prototype ideas quickly using cutting edge and new generation technologies
- Responsible for providing technical support for all BAIR Analytics’ products including but not limited to: ATACRAIDS and RAIDS Online
Staff Data Engineer
01/2013
-
11/2015
Los Angeles, CA
- Assess data quality and recommend improvements to the customer based on their needs and their data’s capability
- Support HomeAway’s product and business team’s specific data and reporting needs on a global scale
- MS in Computer Science or related experience with 1+ years in Machine Learning and Data science
- Experience with Kafka, Spark, Storm
- In Programming experience with Java or Python
- Excellent communication skills with English
- Electric, adjustable stand-up desk
- Discounted Metro & Rail pass
- Work with awesome people – collaborate with larger Digital Media engineering and business teams to deliver impactful data solutions
Staff Engineer, Big Data
04/2007
-
10/2012
Houston, TX
- Explore interesting datasets - Design and implement models and methodologies on variety of datasets to achieve operational excellence and personalization efforts for our digital product lineup
- Be a technical strategist - make strategic recommendations on data collection, integration and retention incorporating business requirements and knowledge of best practices
- Be a lead – drive the design and execution of first party data projects as well as guide and mentor junior team members on technology, analytical, and business tasks
- Be an inventor – innovate and craft cutting edge analytics solutions to move the digital television business into the future
- Working knowledge of various Ethernet technologies and experience in data plane forwarding
- Experienced in and working knowledge of at least a few networking protocols like TCP, UDP, IPv4/v6, routing and tunneling protocols like OSPF, RIP, BGP, MPLS, TRILL, GRE, VXLAN
- In depth knowledge of device drivers and various hardware architectures
- Excellent written/oral communication skills and strong algorithmic, analytical and problem solving skills
- Provide manage daily break fix support to Transportation Data Lake hosted solutions from ingestion through consumption
Education
Strayer University - Rockville Campus
2003 - 2007
Engineer's Degree in Information Systems
Professional Skills
- Demonstrated strong, applied experience with analytical planning software such as Anaplan or similar
- Strong dimensional modelling skills on Hadoop or MPP (e.g. Vertica, Redshift)
- Strong programming skills in Java, C++, Python, Ruby or similar
- Demonstrate awareness of presentation and influencing skills
- Strong communication, interpersonal skills and fortitude to get stuff done
- Technical, team, and solution leadership through strong communication skills to recommend actionable, data-driven solutions
- Strong project leadership experience, including 5 or more years leading multiple complex software development projects using agile methodologies
How to write Staff Data Engineer Resume
Staff Data Engineer role is responsible for integration, programming, java, languages, security, finance, database, auditing, architecture, reporting.
To write great resume for staff data engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Staff Data Engineer Resume
The section contact information is important in your staff data engineer resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:
- First and last name
- Telephone number
Work Experience in Your Staff Data Engineer Resume
The section work experience is an essential part of your staff data engineer resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous staff data engineer responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular staff data engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Staff Data Engineer resume experience can include:
- Demonstrate technical expertise, direction and guidance to the Team across Data Lake technologies to efficiently troubleshoot and improve application performance and availability
- Strong data integration skills; experience with tools such as Informatica, talend, etc
- Demonstrate experience in multiple data engineering platforms and work cross-functionally to maximize best practices and reuse
- Demonstrated experience guiding architecture decisions and direction for a team of developers
- Strong object-oriented programming experience in Java, Python, Ruby or similar
- Strong experience working on Database(s), SQL and stored procedures
Education on a Staff Data Engineer Resume
Make sure to make education a priority on your staff data engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your staff data engineer experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.
Additional details to include:
- School you graduated from
- Major/ minor
- Year of graduation
- Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.
Professional Skills in Staff Data Engineer Resume
When listing skills on your staff data engineer resume, remember always to be honest about your level of ability. Include the Skills section after experience.
Present the most important skills in your resume, there's a list of typical staff data engineer skills:
- Proven experience implementing multivariate testing frameworks and recommender systems in large data environments
- Strong experience with ETL tools and data processing using Informatica or similar
- Proven experience providing technical mentorship to junior team members
- Advanced programming skills in Python and Java. Familiarity with R, Scala, and C#
- Experience in Oracle data management experience (data loading, data conversion, database management)
- Strong background in process design for reliable systems; strong ig picture\ awareness of systems
List of Typical Experience For a Staff Data Engineer Resume
1
Experience For Staff Big Data Engineer Resume
- Strong experience with software tools like: Tableau, Spotfire, Qlik, Domo Alteryx and Cognos
- Experience building data warehouse solutions using MPP technology
- Experience developing solutions using Hadoop
- Experience building data pipelines and analytics systems on distributed data systems on AWS, using spark
- Work closely with the internal customers to design, build, deploy and operate engineering productivity data warehouse capabilities
2
Experience For Staff Engineer, Big Data Resume
- Experience with various offerings from AWS, including S3, EMR, Redshift, Data Pipeline, Athena and Kinesis
- Experience with business-related data (e.g., supplier, bill of materials, product hierarchies, etc.) and modeling of its data,
- Experience with data warehousing & business intelligence
- Experience with Big Data technologies like Apache Hadoop, Apache Spark, MapReduce, HDFS
- Experience with Hadoop, Hive, HBase, Spark, Kafka, Storm, Druid, Cassandra, Columnar Databases and Graph Databases
- Hands-on software engineering experience
- DevOps experience including configuration, monitoring and version control
- Hands-on data engineering experience
3
Experience For Staff Data Operations Engineer Resume
- Big Data experience with large set of data, access pattern
- Deep experience of relational, analytical, columnar databases (7+ years)
- Experience with Git, Continuous Integration and related tools
- Experience with workflow orchestration tools
- Hands-on experience with at-least two E2E Vertica Implementations
- Exhibit strong knowledge of business processes and integrate domain data knowledge into development of data requirements
4
Experience For Staff Data Visualization Engineer Resume
- Around 8 years software development experience
- Experience in Cloud providers like AWS, Azure preferable
- Strong customer service focus and desire for continual
- Experience in Hadoop, Spark and big data applications operations or development
- Mastery in SQL and experience with relational, analytical, in-memory, and NoSQL databases (7+ years)
- Experience with cloud platforms such as AWS, Google Cloud, Azure
- Experience with HBase, Cassandra
- Experience in the area of Prognostic Health Management (PHM)
- Professional or open-source experience data products
5
Experience For Staff Site Reliability Engineer for Data Platform Resume
- Experience in JAVA and SCALA development
- CI/CD experience in Big Data space
- Experience with relational database concepts such as Oracle and SQL
- Experience with ERPs and Cloud Services
- Experience with data stewardship & governance
- MS DOS, Unix / Linux experience
- Hands-on experience with analytics, building and operating DW on Hadoop, Vertica or Redshift MPP
- Experience with open source big data processing systems and infrastructure such as Spark, Hive, Kafka, H-Base, etc
- Experience of design & development of data centric applications leveraging data from enterprise data warehouses
6
Experience For Staff Engineer, Data Management Engineering Resume
- Experience working on Database(s) like PostgreSQL, Oracle, SQL Server. SQL
- Experience designing data model solutions for various OLTP and OLAP databases
- Experience creating the specification and detailed design of software development projects
- OBIEE and Tableau experience, or equivalent
- Experience with Hadoop ecosystem,
- Master's and 5-7 years OR Ph.D. 3 to 5 years experience
- Experience with Disk Drive sub-systems is required
7
Experience For Staff Software Engineer, Data & Scalability Resume
- Actively identifiy needs for novel methods/tools and works with team to invent as necessary. Validates new tools and methodologies
- Hands-on experience in database development - SQL Databases such as Oracle, MySQL, PostgreSQL
- Hands on Experience in data architecture and design for highly scalable and highly available distributed software systems
- Experience Scala and Python
- Experience with Relational Databases (i.e. PosgreSQL, MySQL, MSQL, MariaDB)
- Experience with BI tools like Tableau etc
8
Experience For Staff Systems Software Engineer, Data Team Resume
- Experience with Core Java, Java WebServices development SOAP, REST APIs desired
- Proven ability to establish and maintain relationships with stakeholders, colleagues and build a healthy team atmosphere
- Designing, Architecting scalable solutions in building large scale data platform for Artificial Intelligence and Machine Learning group
- Designing, architecting solution for developing web, software, prototypes, or proof of concepts (POC’s)
- Understanding of EDI messaging types, including ANSI X12 and
- Understanding of maritime data, including shipping lines,
9
Experience For Staff Research Engineer, Data Analytics Resume
- Conceptualizing original ideas that bring simplicity and user friendliness to complex design roadblocks
- Working closely with data scientists on ingestion of off-line analytical predictive models and scoring into Anaplan
- Working knowledge of hadoop components such as spark streaming, hdfs, hbase, yarn, hive and impala
- Writing very complex sqls for data analysis and processing
- Creating hands-on design, development and deployment of highly-scalable, reliable, and performant ETL data pipelines to Anaplan
10
Experience For Staff Software Engineer, Big Data Resume
- Developing necessary interfaces with industry adopted technologies as well as relational and non-relational database technologies
- Establishing complete and usable documentation of all process flow solutions
- Programming in Java or Python. (5+ years)
- Working knowledge of AWS architecture and associated technologies
- Understanding of industry accepted Information Security and IT governance standards (i.e COBIT, ISO, NIST)
- Working knowledge of cloud provider security architecture design patterns
- Taking direction from business principal project manager who manages project details
- Collecting, storing and real time access to large amount of data
List of Typical Skills For a Staff Data Engineer Resume
1
Skills For Staff Big Data Engineer Resume
- Excellent communication skills with ability to work well cross-functionally across multiple departments
- Experience in Data Warehousing/data integration technologies and principles, experience with database, ETL and visualisation tools
- Work effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understands the interconnections between them
- Use teamwork skills to achieve goals, solve problems, and manage conflict
- Strong hands-on experience with Java, J2EE and related technologies
- Demonstrated ability to work in a matrix environment, ability to influence at all levels, and build strong relationships
2
Skills For Staff Engineer, Big Data Resume
- Awareness or experience with industry regulations (i.e HIPPA, DFARS, Export Control, PCI) Experience with Java, Go, Python or Ruby with preference for Python
- Knowledge or prior experience in Data Science and its algorithms
- Working experience with big data tools such as Hadoop/YARN, Spark, Kafka, Hive, Presto, Streaming (5+ years)
- Working experience with Hadoop/YARN, Spark, Hive, Message Queue or Pub/Sub, Streaming technologies (3+ years)
- Engineering – Strong knowledge of Hadoop, Hive, Spark SQL, and relational databases such as SQL Server and Oracle
3
Skills For Staff Data Operations Engineer Resume
- Working experience with AWS services
- Working experience and familiarity with Information Security
- Experience in designing and developing data processing pipelines using distributed computing technologies such as Spark, and Pig, Kafka streaming
- Experience in data warehousing principles and processes including data modeling, logical and physical database design, transformation and loading
- Expert level experience in advanced analytics, model building, statistical modeling, and machine learning algorithms
- Experience with system design and specifications, program logic and flow-charting, development, testing, debugging, documentation, and support
- Experience in designing and developing web services using REST and JSON
- Experience with full software development life cycle, including coding standards, code reviews, source control management, CI/CD , Automation testing
4
Skills For Staff Data Visualization Engineer Resume
- Hands on experience developing Java web applications, including building REST APIs
- Experience in performance tuning Vertica which includes creation of projection, partition swapping, managing MergeOut operations, Delete Vectors, etc
- Comfortable engaging in resourcing and prioritization decisions with other product & engineering leads
- Strong proficiency in developing and debugging C/C++ and/or Java on nix
- Experience using Scripting (Python, Perl, Shell, etc)
- Experience developing reports and visualizations (out of box and custom) using Tableau Desktop (10.2+)
5
Skills For Staff Site Reliability Engineer for Data Platform Resume
- DevOps experience including configuration, optimization, backup, high reliability, monitoring and systems version control
- Strng experience using Scripting (Pig, Python, Perl, Bash/Shell etc) is required
- Experience writing automation under Cloudformation, Terraform, chef, and running data platform in AWS/Azure
- Experience with relevant scripting languages or programming frameworks desired (Python, NodeJS, JavaScript, Python, bash)
- Industry experience building and running in production high volume large-scale distributed system
- Experience working with data warehouses and are familiar with data warehousing concepts
- Demonstrated understanding of Meta data management principles, data architecture, data modeling, data governance, and data security
- Experience designing and tuning relational and columnar databases
6
Skills For Staff Engineer, Data Management Engineering Resume
- Hands-on software engineering with object oriented programming experience in Java, JavaScript
- Database experiences including SQL, schema design, and performance tuning
- Experience developing data analytics platform solutions using Hadoop-based technologies and systems
- Experience designing and developing database for web, software, or mobile applications
- Proven strength in SQL, data modeling, ETL development, and data warehousing
- Experience delivering in a team environment using SAFe Agile framework
- Responsible for design and development of complex data engineering solutions with extensive experience in multiple data engineering concepts and tools
7
Skills For Staff Software Engineer, Data & Scalability Resume
- Experience collaborating on engineering initiatives with remote teams and developers
- Previous experience leading cross functional projects
- Classroom or real-world experience with other reporting tools (PowerBI, Qlikview, Spotfire)
- 3+ of big data experience using AWS cloud, Kafka, Spark, Elastics Search, Talend Big Data Fabric
- Experience in building distributed back-end systems
- Strong track record of excellence in delivering high quality innovative software
- Demonstrate proficiency at industry standard data modeling
- Strong working knowledge of statistical packages (R, SAS, Weka, RapidMiner, etc)
8
Skills For Staff Systems Software Engineer, Data Team Resume
- Experience using Hadoop ecosystem, Map-Reduce, Spark, NoSQL (HBase, MongoDB etc.), Cassandra is desired
- Experience with managing large clusters for technologies such as- Cassandra, MongoDB, Spark, Solr
- Experience with Linux Server platform designing secure, reliable, highly available, performant data services
- Demonstrate proficiency at industry standard data modeling tools (e.g., ERWin, ER Studio, etc.)
- Design and develop scalable, high performing, and reliable services that operate 24x7
- Experience with messaging systems, such as Kafka or RabbitMQ
- Experience with varios offerings from AWS, including S3, EMR, Redshift, Data Pipeline, Athena and Kinesis
9
Skills For Staff Research Engineer, Data Analytics Resume
- Experience driving technical architecture design
- Experience building batch pipelines with data from event data streams, NoSQL and APIs
- Good working knowledge in Tableau Admin tools
- Experience using AWS services (Redshift, Aurora, Lambda, Cloudwatch, PostgreSQL)
- Experience interfacing with RESTful API’s
- Experience developing scalable and fault tolerant systems
- Experience in migrating from relational data model to no sql model
10
Skills For Staff Software Engineer, Big Data Resume
- Good understanding in data platform architecture, J2EE application, hibernate
- Experience with AWS products including EC2, S3, RDS, ElastiCache, ElasticSearch, Kinesis, Lambda, etc
- Strong critical thinking ability to assess complex problems, analyze options, navigate diverse perspectives and develop optimal/acceptable solutions
- Demonstrate proficiency at industry standard modeling tools (eg. ERWin, ER Studio, etc.)
- Experience working on data pipelines and ETL solutions
- Demonstrate knowledge of business' structure (P&Ls) & the levers that support the business goals
- Strong knowledge of memory, threads/process, and networking on Linux
List of Typical Responsibilities For a Staff Data Engineer Resume
1
Responsibilities For Staff Big Data Engineer Resume
- Strong understanding of database fundamentals including SQL, schema design, and performance tuning
- Strong understanding of HADOOP-based technologies and systems, including Hive, MR, Spark SQL, and Sqoop
- Programming language experience required, preferably in Scala, Python or Java
- Development experience with Amazon Web Services or similar cloud computing solution
- Proven knowledge of big data querying tools (e.g. Hive, Spark SQL)
2
Responsibilities For Staff Engineer, Big Data Resume
- Overall experience with at least 2 in big data related positions
- Experience with developing high volume data system
- Perform data validation to ensure reliable, high-quality data
- Excellent technical expertise in relevant state of the art data technologies, data security, data systems, and its design
- Meeting and collaborating with business users on requirements, objectives, measures, solutions and insights
- Select & integrate Big Data tools and frameworks for collecting, storing, processing and analyzing large sets of data
- Roughly 70-80% hands-on coding, data modeling, performance tuning, system configuration for database
3
Responsibilities For Staff Data Operations Engineer Resume
- Work with data engineers and analysts on partitioning, segmentation, partition swapping, and query-tuning
- Proficient in SQL and ETL processes, ETL and DB performance tuning, table partitioning, shell scripting
- Familiar with Python and with mashup/integrating JavaScript libraries like D3 or Angular JS(framework). Familiar and proficient with wire framing
- Expert level Domain Modeling with Relational and No SQL databases
- Develop large real time and batch data processing infrastructure
4
Responsibilities For Staff Data Visualization Engineer Resume
- Handle all aspects of development - architecture, design, development, build, deployment, monitoring and operations
- Be an energy multiplier, injecting enthusiasm and bounce in every team interaction
- Follow ITIL standards for change, problem, request & incident management
- Manage root cause failures and develop solutions for proper controls/prevention
- Own, seek and deliver continuous improvement opportunities to optimize application performance, data quality & accuracy, application availability and operational optimization
- Ensure gaps in system documentation are addressed
- Maintain CMDB (configuration management db) to define application relationships to other systems, processes, owners and support contacts
- Manage and drive resolution of data quality issues from ingestion through consumption
5
Responsibilities For Staff Site Reliability Engineer for Data Platform Resume
- Manage communications to extended teams on planned and unplanned impairments
- Engage with end users and product owners to ensure timely and informed communications
- Manage service and standard request processes such as add users, deploy code, and manage change
- Manage production releases in conjunction with scrum team release schedules
- Demonstrate understanding of application functionality, business dependency and impact to availability to drive ITIL processes with proper focus and prioritization
6
Responsibilities For Staff Engineer, Data Management Engineering Resume
- Interact with both business and technical stakeholders to deliver high quality products and services that meets/exceeds business and technical requirements
- Build cloud-scale Services and API's based on latest standards and frameworks
- Develop data products based on structured and un-structured data
- Enforce a shared architectural vision and how the pieces fit together
- Leverage industry standards, best practices, architecture and design patterns
- Support, scale, and nurture a high-volume data from the systems deployed globally
- Develop web services that make big data available in real-time for in-product applications
7
Responsibilities For Staff Software Engineer, Data & Scalability Resume
- Serve as technical “go to” person for our core technologies – Hadoop, Spark, AWS, Vertica, Tableau, Cassandra, Graph Databases and others
- Experience integrating technical processes and business outcomes – specifically: data and process analysis, data quality metrics/monitoring, data architecture, developing policies/standards & supporting processes
- Excellent interpersonal and communication skills, including business writing and presentations. Ability to communicate objectives, plans, status and results clearly, focusing on critical few key points. Demonstrated ability to work in a matrix environment, ability to influence at all levels, and build strong relationships
- Knowledge of enacting service level agreements and the appropriate escalation and communication plans to maintain them
- Provide technical leadership to ensure that all delivered solutions and architecture adhere to industry best-practices for scalability, maintainability, usability, availability, extensibility, security, and portability
8
Responsibilities For Staff Systems Software Engineer, Data Team Resume
- Design highly performant systems and troubleshoot complex performance and scalability issues in production
- Efficiently integrate our big data infrastructure in the AWS cloud
- Ensure that the platform goes through Continuous Integration (CI) and Continuous Deployment (CD) with DevOps automation
- Leverage the latest technologies to solve complex data analytics problems
- Experience designing, building and operating distributed batch and stream/compute ETL data pipelines using technologies such as Kafka, Spark, Hadoop, Hive, Presto
- Work in the Risk Data Analytics data engineering team. The team has 13 engineers working on Risk Management, Fraud Prevention, Data Engineering, HADOOP data pipelines, Data Warehousing (DW), and Business Intelligence (BI) solutions
- Work closely with the Risk Decision Science team to design, build, deploy and support data science activities, machine learning models, data analytics, and BI solutions
- Design and develop ETL processes to validate and transform data, calculate metrics and attributes, populate data models etc., using HADOOP, Spark, SQL, Python, shell script, and other technologies
9
Responsibilities For Staff Research Engineer, Data Analytics Resume
- Work in fast-moving development team using agile methodologies
- Partner closely with Data Scientists, BI developers and Product Managers to design and implement data models, database schemas, data structures, and processing logic to support various data science, analytics, machine learning, and BI workflows
- Lead by example, demonstrating best practices for code development and optimization, unit testing, SDLC, CI/CD, performance testing, QA, documentation, monitoring, alerting, and incident response in order to ensure data availability, data quality, usability and required performance
- Communicate progress across organizations and levels from individual contributor to executive. Identify and clarify the critical few issues that need action and drive appropriate decisions and actions. Communicate results clearly and in actionable form
- Demonstrate commitment to your professional development by attending conferences, taking classes, and participating in developer communities inside and outside of Intuit
- Strong working knowledge in Tableau
10
Responsibilities For Staff Software Engineer, Big Data Resume
- BS in Computer Science, Mathematics, or a similar field
- Object Oriented programming skills in Java and Python, and a willingness to learn other languages (e.g. R or Scala) as needed. Strong scripting skills (Python, shell script)
- Experience integrating technical processes and business outcomes – specifically: data architecture and models, data and process analysis, data quality metrics / monitoring, developing policies / standards & supporting processes
- Record of accomplishment working with data from multiple sources – willingness to dig-in and understand the data and to leverage creative thinking and problem solving
- Build Big Data Analytics and Visualization platform for handling high-volume batch-oriented and real-time data streams
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