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Data Engineer - PySpark

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Onsite

Data Engineer - PySpark

Tekskills Inc.

Data Engineer - PySpark

Skills

SQL QueriesDockerPythonJavaKafkaScaladbtKubernetesPySparkApache Airflow

8 days ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

13 October 2026

What they need


Job Summary

Role & responsibilities 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).

Responsibilities

  • 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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