Data Engineer

Role & responsibilities

• Develop and maintain data pipelines using Python, PySpark, and SQL.
• Work on data extraction, transformation, and loading (ETL) processes.
• Perform data processing and transformation using PySpark and Databricks.
• Write, execute, and optimize SQL queries.
• Assist in building and maintaining scalable data workflows.
• Perform data cleansing, validation, and troubleshooting.
• Work with large datasets and ensure data accuracy and quality.
• Collaborate with team members to support data engineering projects.

Preferred candidate profile

• 12 years of experience in Data Engineering.
• Hands-on knowledge of Python, PySpark, and SQL.
• Basic to working knowledge of Databricks and Apache Spark.
• Understanding of ETL/ELT concepts and data pipeline development.
• Knowledge of data transformation and data processing.
• Strong analytical and problem-solving skills.
• Good communication and willingness to learn new technologies.