Data Engineer Spark Kafka Sql Haryana

About the Role Hiring a Data Engineer with solid hands-on experience in Spark/PySpark, Kafka, and SQL. The role focuses on building scalable ETL pipelines and working on large-scale data processing systems. Key Responsibilities Build and maintain ETL/ELT data pipelines Develop data processing solutions using Spark/PySpark Work with Kafka for data ingestion and processing Ensure data quality and optimize performance Collaborate with analytics and data science teams Use orchestration tools such as Airflow, AWS Glue, or ADF Required Skills (Key Requirements) Mandatory: Robust experience in Apache Spark / PySpark Hands-on experience with Kafka Advanced SQL skills Good to Have: Experience with ETL pipeline development Knowledge of Apache Flink Exposure to Airflow / ADF / AWS Glue Experience with cloud platforms (AWS / Azure / GCP) Understanding of data lakes and file formats (Parquet, Delta, etc.) Important Note This is not a Databricks-focused role Candidates with solid Kafka + Spark + SQL experience will be prioritized .