Hadoop Developer

Roles & Responsibilities

• Minimum 3–4 years of hands-on experience in data engineering or related roles.
• Strong SQL programming skills with ability to write complex queries and optimize performance.
• Practical knowledge of Apache Spark for data processing and analytics.
• Experience working with Hadoop ecosystem (HDFS, Hive, etc.).
• Ability to design, develop, and maintain data pipelines and ETL processes.
• Familiarity with data warehousing concepts and large-scale data handling.
• Strong problem-solving and debugging skills in a big data environment.
• Excellent communication and collaboration skills to work with cross-functional teams.
• Banking / financial domain knowledge is an added advantage.
• Proven ability to work in a fast-paced, dynamic environment with minimal supervision

EA Number : 11C4879

Tell employers what skills you have

Git

Teradata

Apache Spark

Big Data

Pipelines

Hadoop

Informatica

Shell Scripting

ETL

Unix

MapReduce

Data Engineering

SQL

Python

Debugging

Data Warehousing