Big Data Developer (AWS)

TymblHub; Hyderabad; On-site; INR 1,250,000 - 1,830,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Tech Talks & Hackathons

Job summary

Epam Systems in Hyderabad, India seeks a Big Data Developer with AWS exposure to design and implement data solutions at scale. The role emphasizes Spark, Python, Hadoop, and streaming technologies, with opportunities to lead teams on multi-geo projects.

You'll work across data sources, ensure data quality, and optimize pipelines using Spark tuning and AWS Databricks. The position offers growth, training, and cross-functional collaboration within a global delivery model.

Qualifications

• 6-15 years of Big Data & data tech experience.
• Expert level distributed computing principles.
• Expert level Spark knowledge and hands-on Python.
• Proficiency with Hadoop v2, MapReduce, HDFS, Sqoop.
• Experience building streaming systems (Storm, Spark-Streaming).
• Experience with messaging systems (Kafka, RabbitMQ).
• Big Data querying tools (Hive, Impala).
• Data integration from RDBMS/ERP/files; SQL proficiency.

Responsibilities

• Lead design and implementation of Big Data solutions on AWS.
• Develop and tune Spark jobs for performance.
• Build and maintain data pipelines from multiple sources.
• Collaborate with cross-functional teams; AGILE practitioner.

Skills

Apache Spark

Python

Hadoop

SQL

Storm

Kafka

NoSQL

ETL

Spark Streaming

Databricks

Tools

AWS Databricks

HDFS

Hive

Impala

Sqoop

Kafka

RabbitMQ

Job description

# Big Data Developer (AWS)Epam SystemsPosted on October 10, 2026---Experience6 - 11 yrsSalary (CTC)₹12.5L - ₹18.3LJob LocationHyderabad, IndiaVacancy3DesignationBig Data DeveloperJob TypeNot specified---## Job Description**Job Description:**1. 6-15 Years of in Big Data & Data related technology experience2. Expert level understanding of distributed computing principles3. Expert level knowledge and experience in Apache Spark4. Hands on programming with Python5. Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop6. Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming7. Experience with messaging systems, such as Kafka or RabbitMQ8. Good understanding of Big Data querying tools, such as Hive, and Impala9. Experience with integration of data from multiple data sources such as RDBMS (SQL Server, Oracle), ERP, Files10. Good understanding of SQL queries, joins, stored procedures, relational schemas11. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB12. Knowledge of ETL techniques and frameworks13. Performance tuning of Spark Jobs14. Experience with native Cloud data services AWS Databricks, Azure databricks15. Ability to lead a team efficiently16. Experience with designing and implementing Big data solutions17. Practitioner of AGILE methodology**WE OFFER**1. Opportunity to work on technical challenges that may impact across geographies2. Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications3. Opportunity to share your ideas on international platforms4. Sponsored Tech Talks & Hackathons5. Possibility to relocate to any EPAM office for short and long-term projects6. Focused individual development7. Benefit package:* Health benefits, Medical Benefits* Retirement benefits* Paid time off* Flexible benefits1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)