Big Data Developer (AWS)

Epam Systems; Hyderabad; Hybrid; INR 1,600,000 - 2,600,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

Epam Systems in Hyderabad seeks a senior Big Data specialist with 6-15 years of experience to design and implement large-scale data solutions. You will lead data pipelines, work with Spark, Hadoop, and NoSQL ecosystems, and collaborate across geographies in an Agile setup.

The role emphasizes hands-on coding, cloud data services, and the ability to guide a team through complex data challenges. Join a global tech leader and advance your skills.

Qualifications

• 6-15 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 AWS Databricks, Azure databricks
• Ability to lead a team efficiently
• Experience with designing and implementing Big data solutions
• Practitioner of AGILE methodology

Responsibilities

• Lead and contribute to end-to-end Big Data solutions
• Design and implement scalable data pipelines
• Collaborate with cross-functional teams in an Agile environment
• Mentor and guide junior team members to ensure best practices

Skills

Big Data

Spark

Python

Hadoop

SQL

NoSQL

ETL

Kafka

Agile

Tools

Hadoop v2

Hive

Impala

Kafka

MongoDB

Cassandra

Spark Streaming

AWS Databricks

Azure Databricks

Job description

Job Description:

1. 6-15 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 Databricks, Azure databricks
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.)