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Data Engineer

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Hybrid

Data Engineer

Epam Systems

Data Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataData EngineeringPythonData ScienceDatabricksAWSPySpark

6 days ago

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Important information


Contract type:

Permanent

Salary:

₹3,000,000 – ₹4,500,000 / year

Location:

Hyderabad, Telangana, India

Work mode:

Hybrid

Published on:

14 October 2026

What they need


Senior Data Engineer / Lead Data Engineer (Spark, Python, AWS / GCP / Databricks) - Walk-In Drive(Only Shortlisted will be called for Interview)

Company Name: EPAM Systems
Location: Hyderabad
Walk-In Interview Date: 17-Oct-2026
Experience Level: 6 to 15 Years
Notice Period: 0 to 30 Days (Immediate Joiners Preferred)
Employment Type: Full Time

About EPAM Systems:

EPAM Systems, Inc. is a leading global provider of digital platform engineering and development services. We are committed to building a better future through our innovative software engineering, design, and consulting solutions. We are currently scaling our Data & Analytics practice and looking for passionate, highly skilled Big Data Professionals to join our growing team in Hyderabad.

Job Description:

We are hiring experienced Senior/Lead Data Engineers with strong expertise in Spark, Python, and Cloud platforms (AWS or GCP), along with hands-on experience in Databricks. In this role, you will design, build, and optimize scalable enterprise data pipelines, data lakes, and analytics solutions for our global clients.

Key Responsibilities:

  • Design and implement large-scale data ingestion and processing pipelines using Apache Spark and Python.
  • Build and maintain high-performance data workflows on AWS or GCP cloud environments.
  • Utilize Databricks for collaborative data engineering, data science, and pipeline optimization (Delta Lake, Lakehouse architecture).
  • Optimize legacy queries, tune Spark performance, and ensure efficient resource utilization.
  • Collaborate with architects, data scientists, and stakeholders to understand data requirements and deliver robust solutions.
  • Ensure data quality, security, and governance standards are maintained across all pipelines.

Mandatory Skill Sets & Criteria:

  • Primary Tech Stack 1: Spark, Python, AWS, Databricks
  • Primary Tech Stack 2: Spark, Python, GCP
  • Core Skills: PySpark, SQL, ETL/ELT pipeline development, Cloud Data Warehousing.
  • Experience: 6 to 15 Years of relevant Big Data Engineering experience.
  • Notice Period: 0 to 30 Days (Immediate joiners or serving notice period preferred).

Walk-In Drive Details:

  • Date: 17-Oct-2026
  • Note: Only shortlisted candidates will be called for the face-to-face interview. Pre-registration / profile sharing is mandatory to receive the call letter, exact time slot, and venue details.

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