Data Engineer
Posted Updated
Summary
Data Engineer who builds and maintains ETL/ELT pipelines and data warehouses, extracting, transforming, and loading data from multiple sources while ensuring data quality. Core stack is SQL and Python, with possible use of Apache Spark, Airflow, or cloud platforms like AWS, Azure, or GCP.
- Develop and maintain ETL/ELT data pipelines.
- Extract, transform, and load data from multiple sources.
- Work with SQL and Python for data processing.
- Build and maintain data warehouses.
- Ensure data quality, accuracy, and consistency.
- Collaborate with data analysts and business teams.
Required Skills:
- Good knowledge of SQL and Python.
- Understanding of ETL/ELT processes.
- Knowledge of databases and data warehousing.
- Familiarity with Apache Spark, Airflow, or cloud platforms (AWS/Azure/GCP).
- Strong problem-solving and analytical skills.