Senior Big Data Engineer | Hadoop | Spark | Python | PL/SQL | ETL
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Senior Big Data Engineer | Hadoop | Spark | Python | PL/SQL | ETL

Date Posted
25 July 2026
Location
Positions
1
Employment Information
Job Level
Senior Level
Open Positions
1
Location
Chennai
Address
Chennai, India
Experience
No Experience
Functional Area
Technology
Job Description

Job Description

Position

Senior Associate Projects (Big Data Engineer)

Experience

6 ? 10 Years

Location

Chennai (Hybrid)

Shift

Day Shift

Job Summary

We are seeking a highly skilled Big Data Engineer with expertise in Hadoop, Spark, Python, PL/SQL, and ETL Tools to design, develop, and optimize large-scale data processing solutions. The ideal candidate will be responsible for building scalable data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization.

The role requires hands-on experience in big data technologies, data integration, data transformation, and performance optimization within enterprise environments.

Mandatory Skills

  • Hadoop
    • Apache Spark
    • Python
    • PL/SQL
    • ETL Tools
    • Data Gap Analysis
    • Data Integration
    • SQL

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using Hadoop and Spark.
    • Build and optimize ETL workflows to extract, transform, and load data from multiple sources.
    • Perform data gap analysis and implement solutions to improve data quality and consistency.
    • Develop complex PL/SQL procedures, functions, packages, and performance-tuned queries.
    • Use Python to automate data processing, workflow orchestration, and reporting activities.
    • Monitor, troubleshoot, and optimize big data applications and ETL jobs.
    • Collaborate with business stakeholders and technical teams to gather requirements and deliver data solutions.
    • Ensure data integrity, security, and compliance with organizational standards.
    • Participate in code reviews and implement best practices for scalable data engineering solutions.
    • Improve system performance through tuning, optimization, and process enhancements.
    • Document technical designs, data flows, and operational procedures.

Required Qualifications

  • 6?10 years of experience in Data Engineering or Big Data Development.
    • Strong hands-on experience with Hadoop ecosystem components.
    • Expertise in Apache Spark for large-scale data processing.
    • Experience with ETL tools and data integration projects.
    • Strong proficiency in Python programming.
    • Advanced knowledge of PL/SQL and database optimization techniques.
    • Experience working with structured and unstructured data.
    • Strong analytical, troubleshooting, and problem-solving skills.
    • Excellent communication and stakeholder management skills.

Preferred Certifications

  • Certified Hadoop Developer
    • Apache Spark Certification
    • Python Programming Certification

Why Join Us?

  • Work on enterprise-scale Big Data platforms.
    • Exposure to cutting-edge data engineering technologies.
    • Opportunity to collaborate with cross-functional teams on high-impact projects.
    • Hybrid work environment with excellent growth opportunities.
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