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Data & Analytics Lead Software Engineer (Big Data, AWS)

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Big DataApache Spark, Python, Scala, Amazon Web Services
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Gurgaon, Chennai, Pune, Hyderabad, Bangalore

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has leveraged its advanced software engineering heritage to become the foremost global digital transformation services provider – leading the industry in digital and physical product development and digital platform engineering services. Through its innovative strategy; integrated advisory, consulting and design capabilities; and unique ‘Engineering DNA,EPAM’s globally deployed hybrid teams help make the future real for clients and communities around the world by powering better enterprise, education and health platforms that connect people, optimize experiences, and improve people’s lives. Selected by Newsweek as a 2021 Most Loved Workplace.

EPAM’s global multi-disciplinary teams serve 61,300 employees and customers in more than 50 countries across five continents.

As a recognized leader, EPAM is listed among the top 15 companies in Information Technology Services on the Fortune 1000 and ranked as the top IT services company on Fortune’s 100 Fastest-Growing Companies list for the last three consecutive years.

EPAM is also listed among Ad Age’s top 25 World’s Largest Agency Companies and in 2020, Consulting Magazine named EPAM Continuum a top 20 Fastest-Growing organization.

requirements
  • 8 to 13 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 AWS or AZURE or GCP (Preferred)
                              • Ability to lead a team efficiently
                                • Experience with designing and implementing Big data solutions
                                  • Practitioner of AGILE methodology
                                    technologies
                                    • Big Data
                                      • Spark
                                        • AWS
                                          • Python
                                            • Scala
                                              • Hive
                                                • Data Engineering

                                                  Benefits

                                                  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

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