Big Data & Data related technology

Mytech; Bengaluru; Hybrid; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

Mytech in Bengaluru is seeking an experienced Big Data Engineer to lead data technology initiatives. You will work with distributed computing concepts, develop with Apache Spark, and utilize Python for data processing across diverse sources.

The role emphasizes streaming, data integration, NoSQL databases, and cloud data services. Leadership and AGILE practices are valued as you drive scalable big data solutions.

Qualifications

• 6+ years of experience in big data and data-related technologies.
• Expert understanding of distributed computing principles.
• Expert knowledge and hands-on experience with Apache Spark.
• Hands-on Python programming experience.
• Proficiency with Hadoop v2, MapReduce, HDFS, Sqoop.
• Experience building stream-processing systems (Storm / Spark Streaming).
• Experience with messaging systems (Kafka / RabbitMQ).
• Understanding of Hive/Impala for querying big data.
• Experience integrating data from multiple sources (RDBMS, ERP, files).
• Strong SQL knowledge including joins and stored procedures.
• Experience with NoSQL databases (HBase, Cassandra, MongoDB).
• Knowledge of ETL techniques and frameworks.
• Performance tuning of Spark jobs.
• Experience with cloud data services (AWS Databricks or Azure Databricks).
• Ability to lead a team efficiently.
• Experience designing and implementing big data solutions.
• Practitioner of AGILE methodology.

Skills

Big Data

Apache Spark

Python

Hadoop

SQL

NoSQL Databases

Kafka

Storm

Spark Streaming

Hive/Impala

ETL

Databricks

AGILE

Team Leadership

Data Integration

Cloud Data Services

Tools

Hadoop v2

MapReduce

HDFS

Sqoop

Apache Spark

Kafka

RabbitMQ

Job description

Job Description:

1. 6+ 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 OR 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.Thanks!