Lead Software Engineer - Data
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Salary
≈ $22k – $54k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
Employment
Full-Time
First seen by Alion on Oct 26, 2026. EPAM Systems scores D on the Alion truth index.
Overview
Company
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EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.
We're seeking a Lead Software Engineer – Data who will architect, develop, and fine-tune enterprise-scale data solutions and lead a team through the entire Big Data implementation process. The ideal candidate brings strong technical knowledge of distributed computing and contemporary data processing tools, combined with proven leadership skills to manage projects using Agile methodologies.
Responsibilities
Responsibilities
- Direct the design and rollout of Big Data solutions organization-wide
- Build and fine-tune distributed data pipelines utilizing Apache Spark
- Produce efficient and scalable Python code to support data engineering efforts
- Develop stream-processing systems using technologies like Apache Storm or Spark-Streaming
- Consolidate data originating from various sources, such as RDBMS, ERP systems, and file-based inputs
- Utilize ETL methodologies and frameworks to guarantee dependable data transformation and delivery
- Optimize Spark job performance to satisfy both business and technical needs
- Lead the team's adoption of native cloud data services on Azure or AWS using Databricks
- Oversee and coach a team of engineers to deliver top-quality data solutions effectively
- Champion Agile practices across the entire software development lifecycle
- 8-14 years of hands-on experience with Big Data and associated technologies
- Strong command of distributed computing concepts and Apache Spark
- Skilled in Hadoop v2, MapReduce, HDFS, and Sqoop
- Hands-on experience with messaging platforms like Kafka or RabbitMQ
- Working knowledge of Big Data querying tools including Hive and Impala
- Solid grasp of SQL queries, joins, stored procedures, and relational schema design
- Practical experience with NoSQL databases like HBase, Cassandra, or MongoDB
- Familiarity with ETL methodologies and frameworks
- Hands-on background with native cloud data services on Azure or AWS via Databricks
- Proven ability to lead teams effectively
- Track record of designing and deploying Big Data solutions
- Hands-on experience applying Agile methodology
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