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Data Engineer (Spark, Python, AWS/GCP, Databricks)

Exclusive opportunity

Onsite

Data Engineer (Spark, Python, AWS/GCP, Databricks)

Epam Systems

Data Engineer (Spark, Python, AWS/GCP, Databricks)

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringPythonDatabricksAWSPySpark

4 days ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Face-to-Face Drive for Data Engineers! on -17-Oct-2026 | Call -Prasad 7709618055
If you're interested in this opportunity and are available to join within Immediate to 30 Days, connect with me today and get yourself screened- Call or WhatsApp Prasad - 7709618055 to schedule your discussion.

Data Engineer (Spark, Python, AWS/GCP, Databricks)

Experience: 6+ Years
Location: Hyderabad

Required Skills

  • Strong experience in Python, PySpark, SQL

  • Hands-on experience with AWS + Databricks OR GCP + Databricks

  • Experience in building and maintaining ETL/ELT pipelines

  • Good understanding of Data Warehousing and Big Data concepts

  • Experience with Spark performance tuning and optimization

  • Hands-on experience with Delta Lake, Databricks Workflows, Notebooks, Jobs, and Unity Catalog

  • Experience with cloud services such as:

  • AWS: S3, EMR, Glue, Athena

  • GCP: GCS, Dataproc, BigQuery, Dataflow

  • Experience working with relational and NoSQL databases

Responsibilities

  • Develop scalable data pipelines using Spark and Python.
  • Design and implement cloud-based data solutions on AWS or GCP.
  • Build, optimize, and maintain ETL processes.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Ensure data quality, performance, and reliability across platforms.

Keywords: Spark, PySpark, "", SQL, Databricks, AWS, GCP, Delta Lake, ETL, Data Engineering.

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