Data Warehouse Engineer Resume Sample
Work Experience
- Create technical solutions and design for Data Warehouse
- Define overall ETL architecture including key designs on integration standards such as loading, real time/batch, CDC, data validation, parallelization etc
- Perform analysis and capacity planning to define ‘best in class’ solutions
- Work with management to align solutions and data integration with business strategy and objectives
- Apply broad in depth business and technical knowledge advance technical direction
- In a direct role as a designer and/or ETL/ELT with Ab Initio and Teradata
- Create complex technical solutions and design utilizing Ab Initio, Teradata and other technologies
- Lead technical discussions impacting solutions and data integration technology
- Experience with SQL Analysis Services, data warehousing, SharePoint and Spotfire desired but not required
- Analytic Data Modeling (Star Schema, Normalized Schema, SCD’s, and Lookups)
- ETL and Data Integration skills (Bulk Loads, Temp Tables, and multi-step Transformational SQL)
- Performance Troubleshooting and Optimization (Tuning for Columnar DW-style DB’s)
- Python and Scripting Language (DB libraries or dictionaries)
- Develop ETL / ELT solutions in a Data Warehouse environment
- Expertise in Teradata SQL
- Expert in Unix Shell scripting
- Stay current in new ETL technologies, as well as new opportunities to develop team knowledge base
- Full life cycle experience in Data Integration, Data Warehousing, and Master Data Management
- Expert understanding of the ETL/ELT and architectural principles of data integration and data warehousing
- Works with on/off shore teams to insure ‘best practice’ standards and process
- Long hours of sitting and viewing computer monitors
- Responsible for managing detailed Data analysis and translates Business requirements into logical data models
- Manage and participate as a senior Data Analyst gathering of source systems, processing logic, content and operational system usage
- Experience in database management, administration, and development, with a significant percentage working with SQL Server
Education
Professional Skills
- SQL Server ETL Development experience using SSIS. Strong ETL, data warehouse, T-SQL skills
- Excellent technical writing skills required
- Strong analytical, problem-solving, written and communication skills
- Excellent data modeling skills
- Combine industry knowledge, experience, innovate skills, and user input to create a flexible and an optimized DW infrastructure
- Excellent oral, written and interpersonal communication and presentation skills
- Good skills and experience in Linux, XML, JSON, REST
How to write Data Warehouse Engineer Resume
Data Warehouse Engineer role is responsible for design, business, technical, analysis, etl, modeling, database, analytical, leadership, sql.
To write great resume for data warehouse engineer job, your resume must include:
- Your contact information
- Work experience
- Education
- Skill listing
Contact Information For Data Warehouse Engineer Resume
The section contact information is important in your data warehouse 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 Data Warehouse Engineer Resume
The section work experience is an essential part of your data warehouse 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 data warehouse 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 data warehouse engineer position you're applying to.
The work experience section should be the detailed summary of your latest 3 or 4 positions.
Representative Data Warehouse Engineer resume experience can include:
- Excellent verbal and written communication skills, including requirements/ERD/Data Flow documentation
- Experience in each of the following skills is required
- Provide excellent customer service and communicate effectively with all levels of the organization
- Self confidence, high team spirit and excellent communication skills
- Strong familiarity and experience in Dimensional modeling using Ralph Kimball Methodologies
- Proven professional experience in data analysis, reporting, and data warehousing
Education on a Data Warehouse Engineer Resume
Make sure to make education a priority on your data warehouse engineer resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your data warehouse 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 Data Warehouse Engineer Resume
When listing skills on your data warehouse 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 data warehouse engineer skills:
- Strong interpersonal skills and proven ability to work with a range of personality types
- Strong organizational skills and ability to multi-task and prioritize work
- Strong conceptual and analytical skills: SQL, Problem Solving, Performance tuning, Test case analysis
- Strong Project Management, Leadership, Decision-making, and Technical design skills
- The ability to develop good working relationships and communicate effectively are important for this role
- Strong SQL, analytical, and computational skills
List of Typical Experience For a Data Warehouse Engineer Resume
Experience For Senior Data Warehouse Engineer Resume
- Strong communication skills and ability to discuss data product with PMs and business owners
- Willing to step outside your comfort zone to broaden your skills and learn new technologies
- Partners w/ & becomes a knowledge expert across the organization to solve complex business problems, form test hypotheses using a wide array of skills
- Able to work and communicate effectively with Engineers, DBAs, Business Analysts and Business users
- Understanding and working experience with columnar databases, preferably Redshift
- Solid understanding of Kimball data warehousing methodologies, various stages of ETL processing and dimensional data modeling
- Analyze business requirements for reporting and analysis and subsequently translating the emanating results into good technical data designs
Experience For Senior Business Intelligence & Data Warehouse Engineer Resume
- Excellent understanding of VLDB performance aspects - table partitioning, sharding, table distribution and extreme optimization techniques
- Two years of experience with dimensional modeling and other data-warehousing techniques
- Python scripting experience with data access and writing custom libraries
- Experience in ETL concepts/technologies and data modeling
- Experience in engineering large-scale data-intensive systems
- Experience in scripting languages (like bash/powershell/python/ruby)
- Experience in database/data warehouse management, administration, and development, with a significant percentage working with SQL Server
- QL development Experience building data pipelines and schedules
- Experience working in an Agile workplace Exposure to Big Data technologies (e.g Hadoop, BigQuery, Impala)
Experience For Senior Enterprise Data Warehouse Engineer Resume
- Experience working with Google Cloud Platform
- Experience in Hadoop engineering (e.g. Pig, Hive, Falcon, Sqoop, Kafka, Spark)
- 3+ Data Analytics experience (software tools that are used for Data analytics, machine learning, AI)
- Familiarity and experience with ERWIN or similar data modeling software
- Experience in data engineering, or equivalent DBA + software development
- Experience with BI tools such as SQL Server Reporting Services, Power BI, Tableau
- Experience with real-time data processing and integration in the cloud (IoT) with technology like Microsoft Azure Stream Analytics
- Experience delivering business intelligence solutions on different platforms
Experience For Persmod Data Warehouse Engineer Resume
- Experience in working with ETL tools and technologies like Informatica and others
- Experience with the Linux operating system is very beneficial
- Strong knowledge of ETL using SQL Server and SSIS
- Solid background in data management systems, data warehouse, master data management, data analytics and enterprise reporting
- Experience in application development utilizing a relational database and ability to work with large datasets within and outside of database environments
- SQL partitioning experience
- Experience with a DW technology (ETL, SQL Server, Cloud Databases etc) and relevant data modeling best practice
- Work experience in relevant field (Data Engineer, BI Engineer, DW Engineer, Software Engineer, etc)
- Experience with map reduce SPARK/EMR
Experience For Principal Data Warehouse Engineer Resume
- Experience with SQL Server and SQL Integration Services
- Hands on experience with MapReduce, MPP architectures, NoSQL databases
- Elicit necessary user requirements and quickly turn them into functional prototypes and ensure delivery of effective services
- ETL and relational warehouse, real world experience with SSIS (or similar)
- Experience with Team Foundation Services or other change management software
- Experience with data warehouse architecture and design
Experience For ETL Data Warehouse Engineer Resume
- Experience with data warehouse design and implementation
- Experience with MS SQL Server and SQL Server Integration Services
- Experience with server-side frameworks and environments such as ASP.NET MVC, Python, PHP, Node
- Experience with modern distributed version control systems like Git
- Experience with test, build, deploy (CI) software such as Microsoft Team Services, Bamboo, Jenkins, TeamCity, etc
- Proven ability to troubleshoot technical problems in a complex heterogeneous environment
- Columnstore indexes experience
Experience For Enterprise Data Warehouse Engineer Resume
- Experience with Amazon Web Services, particularly Amazon Redshift and related technologies
- Test development experience
- SQL server, SSIS experience
- “hands-on” experience with Mainframe DB2, Cobol, MQ and JCL
- “hands-on” experience with Teradata, Teradata Utilities, Teradata SQL, UNIX and DataStage
- Loading Data, Analyzing results, identifying root causes of issues, and developing solutions to resolve the issues
- Troubleshooting Systems, Linux/Unix scripting and Source code control understanding
- Providing ETL design, development, and testing estimations based business requirements; and
- Developing and maintaining ETL mappings for multiple development projects
Experience For Lead Data Warehouse Engineer, VP Resume
- Integrating 3rd party data sources using APIs
- Working knowledge of common data visualization/reporting tools (Tableau, Power Pivot, tabular cubes, etc.)
- Executing automated ETL scripts in a fast paced production environment
- Working knowledge of key RDBMS databases like Oracle, Teradata, and other Cloud DW
- Willing to go the extra mile to deliver high-quality results to delight customers
- Working closely with other teams and disciplines to come up with simple, elegant solutions that balance everyone’s needs
Experience For Data Warehouse Engineer Intern Resume
- Perform lifecycle function including requirements gathering, development, unit testing, documenting, and production implementation
- Actively participate in developing program specifications, writing code, testing and implementing program changes and program development
- Necessary programming language and operating/BI system expertise including but not limited to SQL
- Able to query complex datasets and derive conclusions, including: Using all types of joins between multiple tables; Optimizing queries to aggregate large datasets (millions of rows)
- Import/ export data to and from a Database system Identify automation opportunities within current analytics processes and work closely with IT to implement the solution
Experience For Gtis-avp-data Warehouse Engineer Resume
- Architecting, building and maintaining data services and products across Big Data, NoSQL and RMDBS spaces
- Developing and maintaining ETL scripts using SQL, DataStage and C++
- Create reports using various reporting tools such as SQL Server Reporting Services (SSRS) and BusinessObjects Web Intelligence
- Responsible for modeling, developing, and delivering enterprise datasets
- Knowledge of Data Warehousing and Business Intelligence including various data modeling methodologies and techniques
- Identify new data needs and deliver mechanisms for acquiring and reporting such information as well as addressing the actual needs
List of Typical Skills For a Data Warehouse Engineer Resume
Skills For Senior Data Warehouse Engineer Resume
- Design and coding skills in a scripting language (e.g. Python/Perl/shell scripting) on Unix/Linux Platforms
- Proven experience in data modeling, SQL Programming and ETL (Extract, Transform and Load) package design
- Quickly learn highly technical and specialized skills for Data Warehousing (RDBMS, ETL etc.), OLAP and BI systems
- Data modeling skills such as Star/Snowflake schema design for DWH
- Demonstrated experience in developing for cloud data lakes (e.g. Azure Data Lake, Google Big Query, 1010data)
- Prior experience managing project/product implementation through partnerships with cross-functional teams, both internal and external
- Strong experience in Dimensional Modeling (star schema)
- Experience in relational database concepts with a solid knowledge of database code and scripts
- Technical skills database design and writing SQL
Skills For Senior Business Intelligence & Data Warehouse Engineer Resume
- Ten (10) or more years experience and demonstrated success in multidisciplinary roles in complex data warehouse, business intelligence or measurement projects
- Five (5) years of experience and demonstrated knowledge of Agile DW/BI best practices
- Understanding and experience with change data capture
- Working experience in Microsoft Azure Data Warehouse technologies such as Azure Data Factory, Polybase, U-SQL, SQL Data warehouse, Azure Analysis Services
- Hands-on experience in designing and developing a data lake using AWS services including, but not limited to, Postgres RDS, Hive Metastore, EMR, or Hadoop
- Experience designing, developing, testing, and supporting of ETL, and OLAP cubes
- Experience developing and executing automated testing for data warehousing
- Professional experience developing code, testing for quality assurance, administering RDBMS, and monitoring of database
Skills For Senior Enterprise Data Warehouse Engineer Resume
- Hands-on programming and database design experience, including logical and physical data modeling (3NF and dimensional methods)
- Experience in populating and leveraging OLAP tools and SQL on Hadoop platforms (Presto, Hive, Hawq, SparkSQL), including tools such as Druid
- Strong background with data warehousing and reporting architectures, dimensional modeling (Kimball)
- Experience collaborating and gathering requirements from both technical and business-facing teams
- Experience managing and monitoring a production ETL process using Informatica
- Experience with ETL Design & development in data warehouse setting using traditional SQL databases like Oracle
- Experience designing and developing data lake and data warehouse in cloud
- Development experience, including unit testing
Skills For Persmod Data Warehouse Engineer Resume
- Excellent understanding of recent advances in distributed computing such as MapReduce, MPP architectures, NoSQL databases
- Knowledge and experience with one or more programming language like Java or scripting languages like Perl highly desired
- Experience with dimensional modeling, data warehouse design, and analytical reporting
- Demonstrated expertise is using SQL in warehousing contexts and other complex environments
- Relevant experience in building and maintaining large scale data systems
- Proficiency in at least one ETL toolset (ideally, SSIS), with experience creating and maintaining data in an Enterprise Data Warehouse environment
- Strong working knowledge of Near Realtime Data Warehousing principles and implementations
- Experience in strategic planning processes and in translating business needs into IT requirements
Skills For Principal Data Warehouse Engineer Resume
- Cript programming experience with one of the following: PowerShell, VBscript, python, or perl
- Experience in designing and maintaining warehouse databases with dimensions and facts
- Experience in creating and partitioning large fact tables in an automated fashion
- Experience in creating and maintaining Clustered Columnstore tables in SQL Server 2016
- Experience creating prototype reports using SSRS, Tableau, PowerBI, etc
- 6 or moreyears of relevant experience in building and maintaining large scale data systems
- Experience in writing database code, ETL concepts/technologies and data modeling
- Experience developing mappings and workflows using Informatica Power Center or Informatia Cloud
- Define overall ETL architecture including key designs on integration standards such as loading, real time/batch, CDC, data validation, parallelization, etc
Skills For ETL Data Warehouse Engineer Resume
- Extensive experience on building reports, dashboards and report performance tuning
- Experience in Data Warehouse, Data Modelling, and Star Schemas
- Software development experience with programming languages such as Powershell, Python or Java
- Related experience in data warehousing
- Experienced working with both structured and unstructured data
- Professional experience with core Business Intelligence tools (eg. Reporting and Dashboards, ETL, Oracle, MySQL, Vertica, Linux, SQL, JSOJN, XML, and HTML)
- ERP and Manufacturing experience
- Experience working with Agile methodologies in a DWH/BI environment
- Significant experience in writing SQL / Stored Procedures against Redshift databases
Skills For Enterprise Data Warehouse Engineer Resume
- Demonstrated success implementing data migration or real-time data replication from on-premise databases to AWS Postgres RDS or Redshift
- Experience in the development and management of data pipelines using tools such as SSIS and Informatica as well as new models such as NiFi, Airflow and Luigi
- Develop code in Python (Java, Scala and R are all beneficial), including experiences with Numpy/Pandas/Sci-kit
- Integration of streaming architectures in Big Data implementations and experience with Kafka, RabbitMQ and/or related cloud offerings
- Participate in data quality initiatives to profile and cleanse data prior to loading into the warehouse
- Solid understanding of SDLC, software best practices and development methodologies
- Experience in building SSIS Packages and SSAS cubes (MOLAP, ROLAP & TABULAR)
- Experience in writing efficient T-SQL, MDX and C# code
Skills For Lead Data Warehouse Engineer, VP Resume
- Extensive experience in using SQL Server
- Experience in scripting languages (like bash/powershell/python/ruby/.Net)
- Thoroughly and quickly analyze business requirements for reporting and analysis, and translate them into a good technical data design
- Strong Expertise using Informatica transformations
- Performed the execution and validation of building Dev, Test and Prod Informatica jobs
- Regular interaction with Business Analysts in order to translate reporting requirements into an effective and insightful interactive analytical dashboard
- ETL development experience preferably using Microsoft suite of products
- Experience developing data warehouses
Skills For Data Warehouse Engineer Intern Resume
- Strong desire to seek out and learn new technologies and development practices
- Experience with Hadoop, HBase, Hive, Pig, Oozie and related technologies
- Experienced in both on premise and cloud data stores (Oracle, SQL, Azure Data Lake, Azure SQL DW, HDFS, Kafka, Flume)
- Experience of Business Objects Universe design and report design
- Experience of real time data warehouse in Oracle 12c in Memory or other
- Experience with identifying automation opportunities within current analytics processes and work closely with IT to implement the solution
- Experience with Secure Data Transfer Protocols setup and troubleshooting and MFT
- Script development experience, such as SQL,Unix, SED, AWK Scripting, DataStage
- ETL experience, specifically working with IBM DataStage and Control-M
Skills For Gtis-avp-data Warehouse Engineer Resume
- Experience with Teradata Utilities Like Mload,FastLoad, TPT and BTEQ, or Informatica
- Experience with ESP Event Schedule design and installation
- Experience with UNIX Command line operations
- Experience with Microsoft Data Warehouse Appliance (APS formerly PDW), a nice to have
- Proven ability to work independently and resolve complex issues
- Data warehouse experience
- Business intelligence experience
- Experience with ETL tools & methodologies
- Experience doing data warehouse and Hadoop ecosystem development
List of Typical Responsibilities For a Data Warehouse Engineer Resume
Responsibilities For Senior Data Warehouse Engineer Resume
- Proven and successful experience working with ETL concepts of data integration, consolidation, enrichment and aggregation
- Strong knowledge and experience with at least one of the scripting languages (Shell, Perl, Python)
- Strong hands on experience building large scale databases
- Strong Hands-on experience with MS SQL Server 2012 & 2016
- Good exposure to SSIS, SSRS, SQL Server, PL/ SQL , DB2, Oracle, Teradata, Netezza, BE/ BTech/ MCA with adequate industry experience
- Skilled in data warehouse, data analysis, and data validation
- Experience to include design, development, and testing in ETL tool environment (GUI driven tools and hands-on SQL)
- Development experience with one or more of the following ETL technologies: SSIS, Dell Boomi, Informatica, Pentaho
- Development experience with one or more of the following Database technologies: SQL Data Warehouse, SQL Server, Oracle, Redshift
Responsibilities For Senior Business Intelligence & Data Warehouse Engineer Resume
- Experience deploying full-stack solutions in Amazon Web Services or Microsoft Azure
- Experience with one of the following workflow engines: Azure Scheduler, AWS Simple Workflow Service, Stonebranch, SQL Agent, Control-M
- Experience working with SQL server database administration, integration services, analysis services and MDX query language
- Hands-on experience in developing scalable data solutions
- Experience in developing ETL processes with Abinitio and Pentaho
- Experience in scripting languages such as Python, Unix/Windows Shell, etc
- Define data quality standards and drive initiatives to profile and cleanse data prior to loading into the warehouse
- Strong working knowledge of SQL and other related data query languages
- Experience using Microsoft SQL Server DBMS
Responsibilities For Senior Enterprise Data Warehouse Engineer Resume
- Strong understanding of end-to-end administrative functions and business drivers; Focus on growth, service, efficiency, profit and speed to market
- Experience with Business Objects CMC and CMS and of administering row level security
- Professional experience with large-scale data warehouses
- Professional experience as a data warehouse engineer
- Five years of experience with T-SQL coding
Responsibilities For Persmod Data Warehouse Engineer Resume
- Two years of experience in performance tuning (SQL, ETL)
- Excellent communicator both in written and verbal form
- Three years of experience with SQL Server integration services or similar ETL tools
- Two years of experience with SQL Server Analysis Services
- Experience with ETL tools and ETL programming
- Experience designing ETL solutions for data migration or data integration
- Experience with IT projects and software development
- SQL Server experience
Responsibilities For Principal Data Warehouse Engineer Resume
- Experience with all phases of the software development life cycle (SDLC). Worked with schedulers and source control software like TFS
- Proven ability to learn new concepts, tools, languages and techniques quickly
- Hands-on development experience in SQL Server 2012/2014
- Experiences with SQL DBs/DBMS system (optimal case PostgreSQL) and performance analysis tools
- Experience on SQL Server Integration Services
- Experience with MS SQL Server administration and optimization
- Create design visuals via PowerPoint or any other software to visualize the end product prior to development
- Strong desire to thoroughly learn the business and be able to communicate in the same terminology as the users
Responsibilities For ETL Data Warehouse Engineer Resume
- BA/BS, or equivalent experience, in Computer Science or related technical discipline
- Excellent abilities with SQL
- Experience with ETL tools and methodologies(Redshift, SSIS)
- Demonstrated success in multidisciplinary roles in complex data warehouse, business intelligence or measurement projects
- Experience in SQL Azure
- Develop test plans and thoroughly test and debug all programs prior to implementation
Responsibilities For Enterprise Data Warehouse Engineer Resume
- Professional experience with technologies; such as SQL
- Experience in MS SQL Server 2012 and above
- Experience with SQL Server Integration Services (SSIS)
- Experience with SQL Analysis Services, and other related tools as needed and or needed
- Experience with SQL, ETL, Data Quality tools,
- Extensive professional experience in data analysis and report design/ development
- Experience in presentation/ interface creation
- Senior level Data Warehouse Engineer, 5-6+ years of experience
Responsibilities For Lead Data Warehouse Engineer, VP Resume
- Participating in planning staffing needs on your team
- Understanding of ETL best practices using Informatica
- Understanding of data warehouse and data mart architecture, and Kimball methodology
- Collaborating with the stakeholders (product managers, business analysts, and data science teams) to define and refine requirements
- Participating in application and system level technical design
- Understanding of Kimball Methodologies
- Developing SQL code and building ETL packages to integrate source data with the data warehouse
Responsibilities For Data Warehouse Engineer Intern Resume
- Collaborating on system configuration activities and the integration of system components
- Able to develop robust Data Models (w/ERD) by working with subject matter experts, analyzing business processes, and analyzing source schema
- Knowledge of multiple subject area domains, including one of the following: DemandGen, Field Marketing, Sales, Customer
- Hands on working with various types of Databases - Preferably OLAP & OLTP (building OLAP cubes using Oracle technologies or MS SQL Server Analysis)
- Develop, Configure, Log, Deploy and Debug SSIS packages using various types of sources and destinations including SQL, flat files, excels, XML and ADO.NET
- Provide visualization to users by creating ad-hoc reports in SSRS and Tableau using data from Warehouse and Cubes
Responsibilities For Gtis-avp-data Warehouse Engineer Resume
- Work on Enhancements and optimization of ETL processes to build data structures that serve global marketing, Email, Accounting and Salesforce groups etc
- Develop and enhance algorithms for the data warehousing and structuring as a key component to manage the data lake required for big data analytics in HAD
- Assist in designing and developing Systems Development Life Cycle (SDLC) for Adaptive's Business Intelligence systems
- Assist in designing and developing procedures to ensure compliance with applicable regulations (HIPAA, GDPR)
- Perform ongoing monitoring, automation and refinement of reports and BI solutions
- Data modeling for data intensive application from star schema, dimensional modelling, and data lake architectures