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Lead Software Engineer (Big Data)
View: 106
Update day: 30-05-2024
Category: High Technology IT - Software
Industry: Information Technology Services
Position: Mid-Senior level
Job type: Full-time
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Job content
We are currently looking for Lead Big Data Engineers in India for our offices in multiple locations & Remote working.We are looking for an experienced Big Data Engineers to work on critical application & product development. You’ll be a part of a modern, lean, self-governing engineering team.
Requirements
- 9 to 14 Years of IT and 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
- hadoop
- HDFS
- Map Reduce
- NoSQL
- AWS
- Azure
- GCP
- Hive
- Impala
- Sqoop
- Apache Spark
- Mapreduce
- HBase
- Cassandra
- MongoDB
- 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 and 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.)
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Deadline: 14-07-2024
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