Data Engineer

Epam Systems; Hyderabad; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

EPAM Systems in Hyderabad seeks experienced Senior/Lead Data Engineers with strong Spark, Python, and cloud platform skills (AWS or GCP). You will design, build, and optimize scalable data pipelines, data lakes, and analytics solutions for global clients using Databricks.

The role requires 6 to 15 years of Big Data experience and immediate joiners are preferred. Walk-In Drive on 17-Oct-2026; shortlisted candidates will be called for interviews.

Qualifications

• 6–15 years of Big Data engineering experience.
• Strong expertise in Spark and Python.
• Cloud experience with AWS or GCP.
• Databricks experience.
• SQL, ETL/ELT pipelines, and data warehousing.

Responsibilities

• Design and build large-scale data ingestion and processing pipelines using Apache Spark and Python.
• Develop and optimize data workflows on AWS or GCP cloud environments.
• Leverage Databricks for collaboration and pipeline optimization (Delta Lake, Lakehouse).
• Tune Spark performance and optimize resource utilization across pipelines.
• Collaborate with architects, data scientists, and stakeholders to define data requirements and deliver robust solutions.
• Ensure data quality, security, and governance across pipelines.

Skills

PySpark

SQL

ETL/ELT pipelines

Data Warehousing

Big Data

Tools

Apache Spark

Python

AWS

Databricks

GCP

Job description

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.