Hadoop developer with Java

Must Have Technical/Functional Skills:

Primary Skill: Spark, Java, Hive, SQL

Secondary: Unix, Kafka, Python

Experience: 10+ years

Roles & Responsibilities

We are seeking a highly experienced Hadoop Spark Developer with 10+ years of expertise in Big Data technologies, including Java, Spark, Hadoop Ecosystem and Hive. The ideal candidate will be responsible for designing, developing, optimizing, and maintaining large-scale data processing solutions. Experience with Microsoft Copilot for AI-assisted development and productivity enhancement is highly desirable. The developer should hold a bachelor's or master's degree.

The candidate should possess strong analytical skills, hands-on experience in distributed data processing, and the ability to work closely with business stakeholders, architects, and data engineering teams.

• Design, develop, and maintain scalable Big Data solutions using Hadoop and Spark.

• Build and optimize ETL/ELT pipelines using Java, Spark, Hive, and Python.

• Process and analyze large datasets in distributed environments.

• Develop high-performance Spark jobs and optimize existing workloads.

• Create and manage Hive tables, partitions, views, and complex queries.

• Implement data quality, data validation, and reconciliation frameworks.

• Perform code reviews and ensure adherence to coding standards and best practices.

• Utilize Microsoft Copilot to accelerate development, automate code generation, troubleshooting, documentation, and testing activities.

• Strong experience building both batch and real-time streaming applications with Kafka.

• Collaborate with Data Architects, Data Scientists, Business Analysts, and DevOps teams.

• Troubleshoot production issues and perform root cause analysis.

• Design data ingestion frameworks for structured, semi-structured, and unstructured data.

• Participate in Agile ceremonies including sprint planning, estimation, and retrospectives.

• Mentor junior developers and provide technical leadership.