Lead 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 (Hyderabad, Pune & Bangalore).

Exp: 5-14 yearsLocation: Gurgaon/Pune/Hyderabad/Bengaluru/Chennai/Coimbatore

Work Mode: Hybrid (2-3 days office in a week)

1. 5-14 Years of in Big Data & Data related technology and

   Palantir experience

2. Expert level understanding of distributed computing principles
3. Expert level knowledge and experience in 

   Apache Spark

4. Hands on programming with 

   Python

5. Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming
6. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files
7. Good understanding of SQL queries, joins, stored procedures, relational schemas
8. Knowledge of ETL techniques and frameworks
9. Performance tuning of Spark Jobs
10. Experience with native Cloud data services 

    Azure

    .
11. Ability to lead a team efficiently
12. Experience with designing and implementing Big data solutions
13. Practitioner of AGILE methodology

What you'll do

• Create and maintain optimal cloud-based Operational Datasource (ODS) & data pipeline architectures capable of ingesting structured and unstructured data using both batch & kafka streaming methods
• •Assemble large, complex data sets that meet functional and technical requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Develop data flows that can leverage both on premise and cloud architectures.
• Work with stakeholders including the business analytics teams and IS architecture teams to assist with data-related technical issues and support their data infrastructure needs.

WE OFFER

1. Opportunity to work on technical challenges that may impact across geographies
2. Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
3. Opportunity to share your ideas on international platforms
4. Sponsored Tech Talks & Hackathons
5. Possibility to relocate to any EPAM office for short and long-term projects
6. Focused individual development
7. Benefit package:

•         Health benefits, Medical Benefits•         Retirement benefits•         Paid time off•         Flexible benefits

1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc.