Description

Job Description:

• Develop and maintain scalable ETL/ELT data pipelines using Apache Spark/PySpark and SQL.
• Strong hands-on experience with Spark, PySpark, Spark SQL, and Advanced SQL.
• Work with large datasets and perform data transformation, cleansing, and validation.
• Optimize Spark jobs and SQL queries for performance.
• Experience with Data Warehousing, Data Modeling, and ETL concepts.
• Good knowledge of Python and distributed data processing.
• Experience with Databricks / AWS / Azure / GCP is a plus.
• Knowledge of Airflow, Kafka, Delta Lake, Git/CI-CD is an advantage

Key Skills

Education

Any Graduate