Job Description
Data Science EngineerEmployment 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 DetailsInterview 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 Skills6+ years of experience in Big Data and data-related technologies. Expert-level understanding of distributed computing principles. Strong expertise and hands-on experience with Apache Spark. Proficiency in Python programming. Experience with Hadoop v2, MapReduce, 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. BenefitsHealth and medical perks. Retirement benefits. Paid time off. Flexible benefits. Opportunities to explore personal interests beyond work through forums covering CSR, photography, painting, sports, and other activities.

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