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Senior Software Engineer - Big Data

Senior Software Engineer - Big Data

We are currently looking for Senior Big Data Engineers in India for our offices in multiple locations.

We are looking for an experienced Big Data Engineers to work on critical application & product development. You'll be a part of a modern, lean, self-governing engineering team.


  • 5 to 9 Years of IT & Big Data technologies experience
    • Expert level understanding of distributed computing principles
      • Expert level knowledge and experience in Apache Spark
        • Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
          • Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
            • Experience with messaging systems, such as Kafka or RabbitMQ
              • Good understanding of Big Data querying tools, such as Hive, and Impala
                • Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
                  • Good understanding of SQL queries, joins, stored procedures, relational schemas
                    • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
                      • Knowledge of ETL techniques and frameworks
                        • Performance tuning of Spark Jobs
                          • Experience with native Cloud data services AWS or AZURE or GCP (Preferred)
                            • Ability to lead a team efficiently
                              • Experience with designing and implementing Big data solutions
                                • Practitioner of AGILE methodology


                                  • Big Data
                                    • Spark
                                      • Hadoop
                                        • Hive
                                          • Python
                                            • Scala
                                              Big Data
                                              Apache Spark
                                              Apache Hadoop
                                              Apache Hive
                                              Apache Impala
                                              Apache MapReduce



                                              For you

                                              • Insurance Coverage 
                                              • Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves. 
                                              • Financial assistance for medical crisis 
                                              • Retiral Benefits – VPF and NPS 
                                              • Customized Mindfulness and Wellness programs 
                                              • EPAM Hobby Clubs

                                              For your comfortable work

                                              • Hybrid Work Model 
                                              • Soft loans to set up workspace at home 
                                              • Stable workload 
                                              • Relocation opportunities with ‘EPAM without Borders’ program


                                              For your growth

                                              • Certification trainings for technical and soft skills 
                                              • Access to unlimited LinkedIn Learning platform 
                                              • Access to internal learning programs set up by world class trainers 
                                              • Community networking and idea creation platforms 
                                              • Mentorship programs 
                                              • Self-driven career progression tool


                                              Bangalore, Chennai, Gurgaon, Hyderabad, Pune

                                              Cities eligible for the position