68 years of hands-on data engineering experience.
•Solid expertise in Apache Spark (batch + streaming) and Hive.
•Proficiency in Python, Scala, or Java.
•Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
•Experience working with Kafka, Solace, and object stores (S3, MinIO).
•Exposure to Docker/Kubernetes for deployment.
•Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

4 to 5.11 years of hands-on data engineering experience.
•Robust expertise in Apache Spark (batch + streaming) and Hive.
•Proficiency in Python, Scala, or Java.
•Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
•Experience working with Kafka, Solace, and object stores (S3, MinIO).




•Exposure to Docker/Kubernetes for deployment.
•Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

6–9 years of hands-on data engineering experience.
•Robust expertise in Apache Spark (batch + streaming) and Hive.
•Proficiency in Python, Scala, or Java.
•Knowledge of orchestration tools (Airflow / Control-M) and SQL transformation frameworks (DBT preferred).
•Experience working with Kafka, Solace, and object stores (S3, MinIO).
•Exposure to Docker/Kubernetes for deployment.
•Hands on experience of data Lakehouse formats (Iceberg, Delta Lake, Hudi).

📌 Big Data Engineer Chennai (India)
🏢 Tekskills
📍 India