Senior/Lead Big Data Engineer Hyderabad, India
Senior/Lead Big Data Engineer Description
Job #: 57611
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are looking for a Big Data Engineer.
DESCRIPTION
We are looking for a Big Data Engineer.
Requirements
- 5 to 12 Years of IT & Big Data technologies experience
- Expert level understanding of distributed computing principles
- Expert level knowledge and experience in Apache Spark
- 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 AWS or AZURE or GCP (Preferred)
- 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
- Unlimited access to LinkedIn learning solutions
- Possibility to relocate to any EPAM office for short and long-term projects
- Focused individual development
- Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible benefits
- Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
