DATA WAREHOUSE DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 9, 2024 – The Data Warehouse Developer has a proven track record as a data engineer in the financial sector, showcasing expertise in complex data warehouses and environments. Proficient in SQL and reporting on relational databases like DB2 and Oracle, the developer has experience with big data platforms such as Cloudera and business intelligence tools like Tableau. With a commitment to innovation and integrity, strong communication skills enhance collaboration in Agile team settings.

Essential Hard and Soft Skills for a Standout Data Warehouse Developer Resume
  • SQL
  • ETL Tools
  • Data Modeling
  • Data Warehousing Concepts
  • Database Management
  • Performance Tuning
  • Cloud Technologies
  • BI Tools
  • Scripting Languages
  • Data Integration
  • Problem-Solving
  • Communication
  • Team Collaboration
  • Adaptability
  • Attention to Detail
  • Critical Thinking
  • Time Management
  • Analytical Skills
  • Project Management
  • Creativity

Summary of Data Warehouse Developer Knowledge and Qualifications on Resume

1. BS in Data Science with 4 years of Experience

  • ETL (extract, transform, and load) experience
  • Overall experience in data integration, data architecture, data modeling, and implementation
  • Full lifecycle data warehousing experience
  • Knowledge of implementation of ODI interfaces and scenarios for extracting and loading data from a variety of data sources or other ETL implementations
  • Experience with set up, configuration, and administration of ODI or other ETL products according to requirements
  • Proven BI knowledge and experience
  • Design experience in detailed ETL architecture, including agents, scenarios, packages, data mapping, data extractions, transformations, and validations.
  • Experience working in dimensional modeling
  • The ability to communicate the overall customer data architecture to both technical and business constituencies
  • Great team player and ability to work collaboratively at various levels of the organization

2. BS in Information Technology with 3 years of Experience

  • Experience working with SSIS and TSQL
  • Expertise with SQL queries, data integrations, and data analysis
  • Experience with data visualization tools such as Tableau or Power BI
  • Experience with Python, C# or other scripting languages
  • Experience with source control software such as Git or Bitbucket
  • Solid analytical and problem-solving skills, ability to think strategically
  • Understanding of data centers and IT frameworks
  • Ability to conduct research and learn new technologies 
  • Ability to collect and analyze relevant quantitative and qualitative data sets
  • Excellent analytical, technical and problem-solving skills with attention to detail

3. BS in Computer Science with 5 years of Experience

  • Experience working with Data warehouse platforms
  • Hands-on experience working with Glue
  • Working experience in Redshift or Snowflake
  • Experience using AWS data pipeline, and using APIs for developing or programming software
  • Skilled in AWS Services such as EC2, Lambda, IAM, API Gateway, S3
  • Experience working in SQL, and Oracle Database
  • Proficiency in JSON, Parquet, and ORC
  • Experience in Python programming, Java
  • Experience in Talend cloud ETL platform
  • Experience with CI/CD pipeline tools like Bamboo, Bitbucket, Artifactory, Ansible, Nexus

4. BS in Software Engineering with 6 years of Experience

  • Working knowledge of SQL and PostgreSQL warehousing
  • Experience working in ETL and PL/SQL
  • Experience in data warehouse concepts and relational databases
  • Experience in technical testing, implementation, and troubleshooting in production environments
  • Ability to support a hybrid schedule with onsite needs in Downtown DC
  • Experience working with Informatica
  • Experience developing and providing guidance on test plans, test data, test results
  • Solid working knowledge of Microsoft tools and software (i.e., Excel, Visio, Access, PowerPoint)
  • Ability to recognize data patterns, quantify potential issues, and identify solutions. 
  • Ability to standardize, harmonize, clean, prepare, and use data for developing datasets, reporting, and analysis.

5. BS in Statistics with 8 years of Experience

  • Experience working with SAP BW on HANA
  • Experience working with SAP HANA modeling
  • Knowledge of SQL and ABAP languages, Python
  • Good understanding of data modeling and data warehouse architecture principles.
  • Strong troubleshooting and debugging skills, with a passion for problem-solving and investigation
  • A basic understanding of retail and wholesale business processes
  • Ability to coordinate with cross-functional team members and to work in an agile way
  • Excellent English communication skills, the ability to convey complex analysis results clearly and with conviction to all levels of stakeholders
  • Ability and willingness to learn new technologies and concepts
  • Experience with cloud-based Data Lake
  • Ability to translate business requirements into specifications that will be used to implement required reports and dashboards

6. BS in Business Analytics with 3 years of Experience

  • Proven track record as a data engineer within the financial sector
  • A degree in information technology or equivalent working experience
  • In-depth experience with large and complex data warehouses/lakes
  • Expertise in SQL and reporting on relational database systems like DB2, Oracle or similar
  • Expertise in big data environments like Cloudera
  • Knowledge of business intelligence tools like Business Objects, Microstrategy, Tableau or similar
  • Knowledge of stream processing systems like Kafka, Spark or similar
  • Comfortable working in a team-oriented, Agile environment
  • Self-starter with innovation, integrity, strong work ethic, and attention to detail
  • Good written and oral communication skills