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Senior Software Engineer (Big Data and Azure)

Senior Software Engineer (Big Data and Azure)

We are currently looking for Data + Azure Engineers in India for our offices in multiple locations.

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


  • 5 to 16 Years of in Big Data & Data related technology experience
    • Expert level understanding of distributed computing principles
      • Expert level knowledge and experience in Apache Spark
        • Hands on programing with Python / Java / Scala
          • 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 Azure
                              • Ability to lead a team efficiently
                                • Experience with designing and implementing Big data solutions
                                  • Practitioner of AGILE methodology


                                    • Big Data
                                      • Azure
                                        • Spark
                                          • Python
                                            • Azure Databricks
                                              • Azure Data factory
                                                Big Data
                                                Azure Data Factory
                                                Azure Databricks
                                                Apache Spark



                                                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