Senior Data Engineer

EPAM has presence across 40+ countries globally with 55,000 + professionals & numerous delivery centers, Key locations are North America, Eastern Europe, Central Europe, Western Europe, APAC, Mid East & Development Centers in India. Location: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai/Coimbatore Work Mode: Hybrid (2-3 days office in a week) Full time Job Description: 5-14 Years of experience in Big Data & Data related technology experience Expert level knowledge and experience in Apache Spark ( Core Concepts e.g., RDDs, DataFrames, fault tolerance, Spark internals, Catalyst optimiser, and AQE) Hands on programming with Python OR Scala. Understands exception handling and its practical applications. Proficient in using Databricks. Experience with building stream-processing systems, using technologies such as Spark-Streaming 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 Knowledge of ETL techniques and frameworks Performance tuning of Spark Jobs Experience with native Cloud data services Azure/GCP/AWS Ability to lead a team efficiently Experience with designing and implementing Big data solutions Practitioner of AGILE methodology WE OFFER Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: • Health benefits, Medical Benefits• Retirement benefits• Paid time off• Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc. About EPAM: https://vimeo.com/729865941