Data Engineer
Summary
The Data Engineer will build and maintain ETL/ELT pipelines, manage cloud data platforms, and ensure data quality using Python, SQL, and various cloud data warehouse technologies. The role involves collaborating with cross-functional teams to support both batch and real-time data processing.
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Key Responsibilities
- Build and maintain ETL/ELT data pipelines.
- Develop data transformations using Python and SQL.
- Manage cloud-based data platforms and data warehouses.
- Support batch and real-time data processing.
- Ensure data quality, monitoring, and performance.
- Collaborate with analysts, data scientists, and business teams.
- Participate in code reviews, testing, and CI/CD.
Required Skills
- 3+ years of Data Engineering experience.
- Strong Python and SQL skills.
- Hands-on with ETL/ELT development.
- Experience with Snowflake, Microsoft Fabric, AWS (Glue/Redshift), Azure Data Lake, or Google BigQuery.
- Knowledge of Data Modeling, Airflow, DBT, Spark/Dask, Git, and CI/CD.
- Exposure to Power BI or Apache Superset.
Qualification
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Strong problem-solving, communication, and teamwork skills.