Job Description: Data Science Engineer

Employment Type: Full-Time, Permanent
Location: Kochi / Coimbatore
Work Mode: Hybrid
Experience: 6-14 Years
Grades:

- A3: 6-9 Years | Budget: Up to ₹30 LPA
- A4: 9-14 Years | Budget: Up to ₹39 LPA
Notice Period: Immediate to 60 Days

Interview Details

- Interview Mode: Face-to-Face
- Interview Location: Kochi
- Interview Date: 21 November 2026

Job Description

We are looking for experienced Data Science Engineers with strong expertise in Big Data technologies, distributed computing, and cloud-based data engineering solutions. The ideal candidates should have hands-on experience in Apache Spark, Python, Databricks, and cloud platforms, along with the ability to design, develop, and optimize scalable Big Data solutions.

Key Responsibilities & Required Skills

- 6+ years of experience in Big Data and data-related technologies.
- Expert-level understanding of distributed computing principles.
- Solid expertise and hands-on experience with Apache Spark.
- Proficiency in Python programming.
- Experience with Hadoop v2, Map Reduce, HDFS, and Sqoop.
- Experience building stream-processing systems using technologies such as Apache Storm or Spark Streaming.
- Hands-on experience with messaging systems such as Kafka or RabbitMQ.
- Good understanding of Big Data querying tools such as Hive and Impala.
- Experience integrating data from multiple sources,



including RDBMS (SQL Server, Oracle), ERP systems, and files.
- Strong understanding of SQL queries, joins, stored procedures, and relational schemas.
- Experience with NoSQL databases such as HBase, Cassandra, and MongoDB.
- Good knowledge of ETL techniques and frameworks.
- Experience in Spark job performance tuning and optimization.
- Hands-on experience with native cloud data services, particularly Azure Databricks.
- Experience designing and implementing Big Data solutions.
- Ability to lead and manage a team effectively.
- Experience working with Agile methodologies.

What We Offer

- Opportunities to work on challenging technical projects with global impact.
- Extensive self-development opportunities through online learning platforms, global knowledge-sharing initiatives, and external certifications.
- Opportunities to share ideas and expertise on international platforms.
- Sponsored technical talks and hackathons.
- Opportunities for short-term and long-term relocation to other EPAM offices.
- Focused individual development and career growth.

Benefits

- Health and medical benefits.
- Retirement advantages.
- Paid time off.
- Flexible benefits.
- Opportunities to explore personal interests beyond work through forums covering CSR, photography, painting, sports, and other activities.

📌 Data Science Engineer_Hybrid (India)
🏢 VGreenTek
📍 India