Data Engineer Spark | Kafka | SQL (Haryana)

About the Role Hiring a Data Engineer with strong 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: - Strong 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 .