Posted:1 week ago|
Platform:
On-site
Full Time
We have an opportunity with one of our clients and below is the detailed job description:
1. 5-12 Years of in Big Data & Data related technology experience
2. Expert level understanding of distributed computing principles
3. Expert level knowledge and experience in Apache Spark
4. Hands on programming with Python
5. Proficiency with Hadoop v2, Map Reduce, HDFS, Sqoop
6. Experience with building stream-processing systems, using technologies such as
Apache Storm or Spark-Streaming
7. Experience with messaging systems, such as Kafka or RabbitMQ
8. Good understanding of Big Data querying tools, such as Hive, and Impala
9. Experience with integration of data from multiple data sources such as RDBMS (SQL
Server, Oracle), ERP, Files
10. Good understanding of SQL queries, joins, stored procedures, relational schemas
11. Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
12. Knowledge of ETL techniques and frameworks
13. Performance tuning of Spark Jobs
14. Experience with native Cloud data services AWS or AZURE Databricks or GCP
15. Ability to lead a team efficiently
16. Experience with designing and implementing Big data solutions
17. Practitioner of AGILE methodology
WE OFFER
1. Opportunity to work on technical challenges that may impact across geographies
2. Vast opportunities for self-development: online university, knowledge sharing
opportunities globally, learning opportunities through external certifications
3. Opportunity to share your ideas on international platforms
4. Sponsored Tech Talks & Hackathons
5. Possibility to relocate to any EPAM office for short and long-term projects
6. Focused individual development
7. Benefit package:
Health benefits, Medical Benefits
Retirement benefits
Paid time off
Flexible benefits
1. Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
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