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Data Engineer (Hadoop, Python, PySpark)

Exclusive opportunity

Onsite

Data Engineer (Hadoop, Python, PySpark)

Tekskills

Data Engineer (Hadoop, Python, PySpark)

Skills

SQL QueriesDockerPythonJavaKafkaScaladbtKubernetesPySparkApache AirflowHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

21 August 2026

What they need


Requirements

  • Strong 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).

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