Required Skills & Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Strong understanding of relational databases, Data Warehouse schemas (Kimball/Star), and SQL fundamentals.
- Extensive experience with Oracle SQL and PL/SQL or T-SQL.
- Proficiency in data warehousing concepts and ETL processes.
- Experience with data visualization tools (e.g., Power BI, Tableau).
- Strong analytical, problem-solving, and communication skills.
- Proven ability to lead projects and work collaboratively in a team environment.
- Commitment to data quality and continuous improvement.
Skills
- Experience with cloud platforms (e.g., Snowflake, AWS Glue, Azure Data Factory).
- Proficiency with version control systems (e.g., Git).
- Experience with dbt, SSIS, SAP DS or similar.
- Knowledge of Python, R or other scripting languages.
- Familiarity with Agile and DevOps methodologies.
Career Development
- This role offers the opportunity to grow into a Senior Data Engineer, with increasing responsibility in solution delivery in advanced analytics and data warehouse design and implementation.
- This progression would also see an increase in responsibility for mentoring and supporting resources withing the s.