About the role
Key Responsibilities
- Design, develop, and maintain ETL/ELT pipelines for data integration and transformation.
- Build, optimize, and maintain data pipelines and data warehouse solutions.
- Develop SQL queries, stored procedures, and data models to support reporting and analytics.
- Ensure data quality, integrity, and performance across multiple data sources.
- Collaborate with Data Analysts, Business Analysts, and cross-functional teams to understand business requirements and deliver data solutions.
- Troubleshoot data issues and optimize existing ETL processes.
- Participate in Agile ceremonies and contribute to continuous process improvements.
Required Skills
- 2–3 years of experience in Data Engineering or ETL Development.
- Strong SQL skills (SQL Server, Oracle, PostgreSQL, or MySQL).
- Hands-on experience with ETL tools such as SSIS, Informatica, Talend, DBT, DataStage, or Azure Data Factory.
- Knowledge of data warehousing, data modeling, and ETL concepts.
- Experience with cloud platforms (AWS, Azure, or GCP) is an advantage.
- Familiarity with Python or Shell scripting is a plus.
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