Bigdata and Hadoop Developer- (Pan India)

Infosys; Hyderabad, Chennai District, Bengaluru; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Infosys in Pan India invites seasoned Big Data Developers to join a dynamic data engineering team. You will design, build, and optimize large-scale data pipelines using Spark, PySpark, and Hadoop components, collaborating with architects and stakeholders.

The ideal candidate brings 6–15 years of IT experience, strong Python/Scala skills, and hands-on cloud experience (Azure/AWS/GCP). You will contribute to data lake and data warehouse solutions and ensure performance, quality, governance, and

Qualifications

• 6 to 15 years of IT experience with Big Data technologies.
• Hands-on experience with Hadoop, Spark, and PySpark.
• Proficiency in Python and/or Scala.
• Experience with any Cloud Platform (Azure, AWS, or GCP).
• Understanding of distributed computing and data processing frameworks.
• Strong problem-solving and analytical skills.

Responsibilities

• Design, develop, and maintain scalable Big Data solutions.
• Build and optimize data pipelines with Spark and PySpark.
• Work with Hadoop ecosystem components for large-scale processing.
• Develop ETL workflows and data transformations.
• Collaborate with data engineers, architects, and stakeholders.
• Ensure performance tuning and optimization of Big Data apps.
• Implement data quality, governance, and security practices.

Skills

Big Data Development

Hadoop Ecosystem

PySpark

Apache Spark

Python

Scala

Cloud Platform (Azure / AWS / GCP)

Tools

Databricks

Hive

HBase

Kafka

Airflow

Job description

Job Title: Big Data Developer

Experience 6 to 15 Years

Locationp Pan India

Job Description

We are hiring experienced Big Data Developers with strong expertise in Big Data technologies, Cloud platforms, and distributed data processing frameworks. The ideal candidate should have hands‑on experience in designing, developing, and optimizing large‑scale data pipelines and analytics solutions.

Mandatory Skills

• Big Data Development
• Hadoop Ecosystem
• PySpark
• Apache Spark
• Python
• Scala
• Cloud Platform (Any One: Azure / AWS / GCP)

Key Responsibilities

• Design, develop, and maintain scalable Big Data solutions.
• Build and optimize data processing pipelines using Spark and PySpark.
• Work with Hadoop ecosystem components for large‑scale data storage and processing.
• Develop ETL workflows and data transformation processes.
• Collaborate with data engineers, architects, and business stakeholders.
• Ensure performance tuning and optimization of Big Data applications.
• Implement best practices for data quality, governance, and security.

Required Qualifications

• 6 to 15 years of IT experience with relevant experience in Big Data technologies.
• Strong hands‑on experience in Hadoop, Spark, and PySpark.
• Proficiency in Python and/or Scala programming.
• Experience working with any Cloud Platform (Azure, AWS, or GCP).
• Good understanding of distributed computing and data processing frameworks.
• Strong problem‑solving and analytical skills.

Preferred Skills

• Experience with Databricks.
• Knowledge of Hive, HBase, Kafka, or Airflow.
• Experience in Data Lake and Data Warehouse solutions.
• CI/CD and DevOps practices for data engineering.