Big Data Developer

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

Job summary

EPAM Systems invites applications for a Big Data Developer position in Pune, India. The role requires 5+ years of Big Data and related tech experience with expert knowledge in distributed computing, Spark, and Python.

You'll work with Hadoop, Kafka, Hive, and NoSQL databases, and contribute to building data pipelines in Azure Databricks and cloud environments. Face-to-face interview is requested on Saturday, 24th Oct, in Pune.

Qualifications

• 5+ years of Big Data and related tech experience.
• Expert understanding of distributed computing principles.
• Expert knowledge of Apache Spark and Python programming.
• Experience with Hadoop v2, MapReduce, HDFS, Sqoop and streaming systems.

Skills

Python

Apache Spark

Azure

Databricks

Job description

# Big Data DeveloperEpam SystemsPosted on October 19, 2026---Experience5 - 9 yrsSalary (CTC)₹12.5L - ₹18.3LJob LocationPune, IndiaVacancy1DesignationBig Data DeveloperJob TypeNot specified---## Job Description**Job description**Greetings form EPAM Systems!!Your Profile is Shortlisted for Big Data Developer, please find the JD below. Please respond to this mail as confirmation.**Job Description:**1. 5.6+ 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 & GCP15. Ability to lead a team efficiently16. Experience with designing and implementing Big data solutions17. Practitioner of AGILE methodology**Mandatory skills:**Python, Spark, Azure, DatabricksPlease confirm If you are interested and available to attend face to face interview on Saturday(24th Oct) at Pune.