Big Data Developer

Mphasis; Bengaluru; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Mphasis is seeking a Senior Big Data/ETL Engineer with 5-8 years of hands-on experience designing, developing and supporting enterprise-scale big data, ETL and streaming solutions. The role emphasizes Hadoop ecosystem technologies, PySpark, Python, HDFS, Kafka, streaming, and ETL development, with knowledge of Informatica.

Cloud exposure on Azure or AWS and ability to use Copilot or equivalent AI-assisted tools to improve productivity, plus Markdown-based documentation ownership, are highly

Qualifications

• 5–8 years of hands-on experience in big data engineering.
• Strong expertise in Hadoop ecosystem (HDFS, MapReduce, YARN) and PySpark.
• Experience with real-time streaming and ETL design.
• Cloud exposure on Azure and/or AWS is a plus.

Responsibilities

• Design, develop and support enterprise-scale big data, ETL and streaming solutions.
• Work with Azure/AWS cloud environments and DevOps practices.
• Produce Markdown-based technical documentation.

Skills

Hadoop

PySpark

Python

HDFS

Kafka

Streaming

ETL

Informatica

DevOps

Copilot

Markdown

Tools

Informatica

Copilot

Job description

Experience

5-8 Years

Location

Work Model

Hybrid: minimum 3 days per week from RMZ Ecoworld, Bangalore

Primary Skills

Hadoop, PySpark, Python, HDFS, Kafka, Streaming, ETL, Informatica, DevOps, Copilot, Markdown

Job Summary

We are looking for a skilled Senior Big Data / ETL Engineer with 5-8 years of hands‑on experience in designing, developing and supporting enterprise‑scale big data, ETL and streaming solutions. The role requires strong practical expertise in Hadoop ecosystem technologies, PySpark, Python, HDFS, Kafka, real‑time streaming and ETL development, with working knowledge of Informatica.

The candidate should have DevOps awareness, cloud exposure on Azure and/or AWS, and the ability to use Microsoft Copilot or equivalent AI‑assisted development tools to improve productivity across coding, debugging, unit test generation, documentation and operational support. Strong ownership of Markdown‑based technical documentation aligned with company standards is essential.