Big Data / Data Technology / Data Engineer

Mytech; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Sponsored Tech Talks & Hackathons

Job summary

EPAM Systems in Hyderabad, India is seeking a senior Big Data Engineer with 8+ years of experience to drive data platform initiatives. You will apply expertise in Spark, Hadoop, and data integration to design scalable solutions.

You will lead a team, work in an Agile environment, and collaborate across geographies to deliver streaming and batch processing pipelines using Spark-Streaming, Storm, Kafka, and NoSQL stores.

Qualifications

• 8+ years of Big Data and related technologies experience.
• Expert knowledge of distributed computing principles.
• Hands-on programming with Python.
• Experience with Hadoop v2, Map Reduce, HDFS, Sqoop.
• Experience building streaming 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 Google Cloud Platform.
• Ability to lead a team efficiently.
• Experience with designing and implementing Big data solutions.
• Practitioner of AGILE methodology.

Skills

Big data concepts

Distributed computing

Python programming

AGILE methodology

Team leadership

Data integration

Tools

Apache Spark

Hadoop v2

Hive

Impala

Sqoop

Kafka

Storm

Spark-Streaming

HBase

Cassandra

MongoDB

SQL Server

Oracle

Job description

1. 8+ 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 Google Cloud Platform
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

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