Job Description :

- 6+ Years of in Big Data & Data related technology experience.

- Expert level understanding of distributed computing principles.

- Expert level knowledge and experience in Apache Spark.

- Hands on programming with Python.

- Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop.

- Experience with building stream-processing systems, using technologies such as Apache Storm or Spark-Streaming.

- Experience with messaging systems, such as Kafka or RabbitMQ.

- Good understanding of Big Data querying tools, such as Hive, and Impala.

- 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.

- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB.

- Knowledge of ETL techniques and frameworks.

- Performance tuning of Spark Jobs.

- Experience with native Cloud data services Azure databricks OR GCP.

- 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.