DATA WAREHOUSE ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 11, 2024 – The Data Warehouse Engineer has extensive experience in data warehousing principles and architectures like Kimball and Inman, along with proficiency in Microsoft SQL Server. Strong skills in gathering functional and technical requirements enable the development of semantic data layers and data marts for easy business user access. The engineer also has expertise in complex SQL development, ETL tools like SQL Server Integration Services (SSIS), and reporting tools such as Power BI and SSRS to support effective data management across SQL Server environments, including versions 2016, 2017, and 2019.

Essential Hard and Soft Skills for a Standout Data Warehouse Engineer Resume
  • SQL
  • ETL Tools
  • Data Modeling
  • Data Warehousing Concepts
  • Database Management Systems
  • Python
  • Data Visualization Tools
  • Cloud Platforms
  • Performance Tuning
  • Data Quality Assurance
  • Problem-Solving
  • Communication
  • Attention to Detail
  • Team Collaboration
  • Analytical Thinking
  • Time Management
  • Adaptability
  • Critical Thinking
  • Creativity
  • Stakeholder

Summary of Data Warehouse Engineer Knowledge and Qualifications on Resume

1. BS in Software Engineering with 5 years of Experience

  • Experiences in data lake and data warehouse design and development experience.
  • Deeply understanding of data warehouse modeling and data governance. 
  • Solid knowledge of data warehouse development methodology, including dimensional modeling, information factory and onedata, etc.
  • Proficient in Java/Scala/Python (at least one language) and Hive & Spark SQL programming languages.
  • Familiar with OLAP technology (such as Kylin, Impala, Presto, Druid, etc.).
  • Proficient in Big Data batch pipeline development.
  • Familiar with Big Data components including Hadoop, Hive, Spark, Delta Lake, Hudi, Presto, Hbase, Kafka, Zookeeper, Airflow, Elasticsearch, Redis, etc.
  • Experience with AWS Big Data services
  • Clear mind, with good business requirement understanding, analysis, abstraction and system design capabilities.
  • Have a strong team collaboration attitude and develop partnerships with other teams and businesses.

2. BS in Cybersecurity with 7 years of Experience

  • Hands-on industry experience with data modeling and data analytics
  • Extensive expertise with Microsoft SQL Server (2016+) and Transact-SQL
  • Exposure to DBT (Data Build Tool)
  • Advanced SQL expertise with multi-stage transformations and usage of more sophisticated transformation tools and methods, such as windowing functions and temp tables in Transact-SQL
  • Experience implementing business logic into models that successfully drive business value
  • Experience building database objects and data transformations using a git-based workflow
  • Applied experience with relational modeling, star schemas, Kimball Data Warehousing and exposure to Data Vault
  • A drive to learn the intricacies of the business, with a versatile and dynamic understanding of businesses
  • Excellent verbal and written skills to effectively communicate business concepts to partner analysts and teams
  • An entrepreneurial spirit, a drive to ship quickly, and familiarity with Agile software development practices

3. BS in Computer Science with 2 years of Experience

  • Profound knowledge of relational databases, ideally with SQL Server.
  • Good knowledge of SQL (preferably T-SQL or HiveQL) and enjoy working with large amounts of structured and unstructured data.
  • Basic knowledge of SSIS, SSAS and SSRS, and multidimensional databases
  • Experience with Big Data technologies, especially with the Hadoop ecosystem (e.g. Hive, Airflow, Tez) regardless of if it's Apache, Cloudera, or Azure HDInsights.
  • Basic knowledge of Python or a desire to learn it
  • Excellent verbal and written communication skills.
  • Outstanding analytical and problem-solving skills.
  • Self-motivated with the ability to perform under tight deadlines and high pressure.
  • Have the desire to learn new technologies and have the confidence to share these with the team.
  • Be open-minded, confident working in a multicultural environment, and eager to use English skills every day.

4. BS in Statistics with 5 years of Experience

  • Broad information technology experience.
  • Strong knowledge of Data Warehousing concepts 
  • An understanding of traditional and MPP database designs, star and snowflake schemas with data modeling.
  • Hands-on development experience using ETL Tools such as Pentaho, SSIS, Informatica, Talend, Fivetran or Airflow. 
  • Knowledge of the architecture, design, and implementation of MPP Databases such as Teradata, Snowflake, or Redshift.
  • Experience with the development using Cloud-based analytics solutions preferably AWS or GCP.
  • Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, or Segment.
  • Experience in using Python in a cloud-based environment
  • Strong knowledge of the following - Python, Apache Kafka, AWS Redshift, AWS Glue, AWS S3, and Pentaho Data Integration.
  • Knowledge in Database Tuning and ETL tuning.

5. BS in Information Technology with 3 years of Experience

  • Hands-on experience in a large-scale data warehouse
  • Migration experience from Teradata or Big Data to Snowflake
  • Experience with Snowflake warehouse and developing applications on Snowflake, SnowSQL, Snowpipe, Javascript UDF & Stored Procedures
  • Experience in creating and consuming data from platforms such as Web APIs, Kafka, and CDC
  • Experienced in consuming data from flat files from other cloud environments
  • Proficient in one or more programming languages such as Java, Scala, Javascript or Python
  • Proficient in SQL and complex queries
  • Experience in source data analysis, data profiling and debugging
  • Experience in ETL and data processing with tools such as SSIS, Talend, and Spark
  • Experience with development work to support data migration, cloud applications and related work

6. BS in Data Science with 1 year of Experience

  • Automotive industry working experience
  • Business Intelligence experience developing reports and dashboards.
  • Experience with visualization creation on different BI solutions including Microstrategy and Tableau.
  • Strong SQL skills and experience with AWS Redshift
  • Solid design aesthetic with the ability to tailor/specify correct visualization types and styling for intended communication and audience.
  • Proven work ethic with the ability to work within set timelines and update management on deviations from these estimates.
  • Strong interpersonal communication skills, effectively communicating in verbal and written form.
  • Familiarity with AWS technologies such as Redshift, Lambda, and S3
  • Experience with Python, and GIT
  • Excellent verbal, written, and interpersonal communication skills.

7. BS in Business Analytics with 5 years of Experience

  • Experience in ETL processes, data warehouse architecture and or administration within the Microsoft/SQL stack
  • Strong familiarity with Kimball methodologies of data warehousing
  • Ability to communicate verbally and in writing with end users and technical users to translate requirements from end users into useful visualizations and analysis
  • Comprehensive grasp of data visualization methods and data modeling for effective database architecture to streamline business analysis and reporting
  • SSMS, ETL Tooling, Reporting experience such as Power BI or equivalent tools
  • Experience working with Synapse
  • In-depth understanding of data management (e.g. permissions, recovery, security, and monitoring)
  • Broad business experience with the proficient ability to talk in business terms
  • Excellent verbal and written communication skills
  • Strong collaborator to work effectively across internal functional areas in ambiguous situations.

8. BS in Mathematics with 6 years of Experience

  • Experience in data warehousing principles, approaches, technologies, and architectures such as Kimball and Inman
  • Experience with conceptual and logical data modeling and a good understanding of logical/functional data decomposition activities
  • Strong skills in conducting functional and technical requirement-gathering sessions for data warehousing development projects with business and technology stakeholders and management
  • Experience in developing semantic data layers/data marts for easy access of business users
  • Proficiency with Microsoft SQL Server Relational Database Management System
  • Extensive knowledge of complex SQL development and troubleshooting (tables, views, stored procedures, functions, indexes, scripts, etc.)
  • Expertise with an ETL tool, preferably SQL Server Integration Services (SSIS)
  • Experience with reporting tools, such as SSRS, PowerBI, Qlik
  • Experience with an OLAP tool is a plus, preferably Analysis Services (SSAS)
  • Advanced understanding of SQL Server 2016, 2017, and 2019 environments.
Relevant Information
Data Warehouse Developer Skills, Experience, and Job Requirements
Data Warehouse Analyst Skills, Experience, and Job Requirements
Data Warehouse Architect Skills, Experience, and Job Requirements
Data Warehouse Consultant Skills, Experience, and Job Requirements