Data Science EngineerHybrid

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.
• 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.

Benefits

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

Required Skills:

Big DataApache SparkPythonHadoop