Data Engineer III

5 - 10 years

7 - 12 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for an experienced

Data engineer

to join our data engineering team and help design, build, and optimize robust data pipelines and platforms that power our analytics, products, and decision-making. This role demands a strong foundation in big data technologies, excellent programming and SQL skills, and hands-on experience in tuning and optimization for large-scale data processing. You will work closely with data scientists, analysts, product managers, and other engineers to build scalable, efficient, and reliable data solutions.

WHAT YOU LL DO:

  • Design, develop, and maintain scalable

    big data pipelines

    using Spark (Scala or PySpark), Hive, and HDFS.
  • Build and manage data workflows and orchestration using

    Airflow

    .
  • Write efficient, production-grade code in

    any programming language

    (such as Python, Java, Scala, etc.) to transform and process data.
  • Develop complex

    SQL queries

    for data transformation, validation, and reporting, ensuring high performance and optimization.
  • Tune and optimize Spark jobs and SQL queries to improve performance and resource utilization.
  • Work on

    cloud platforms

    (AWS, Azure, GCP) to deploy and manage data infrastructure, preferably AWS with EMR.
  • Collaborate with data stakeholders to understand requirements and deliver reliable, high-quality data solutions.
  • Maintain data quality, governance, and monitoring, ensuring pipelines are robust, observable, and recoverable.
WHAT YOU LL NEED:
  • Strong experience with

    Big Data stack

    : HDFS, Hive, Spark (Scala or PySpark)
  • Excellent

    programming skills

    in any major language (Python, Java, Scala, etc.)
  • Expert in

    SQL

    with ability to write and optimize complex queries
  • Hands-on experience with

    Spark tuning and optimization

    (both compute and SQL layer)
  • Experience with

    Airflow

    for data workflow orchestration
  • Bachelor s or Master s degree in Computer Science, Engineering, or related field.
  • 5+ years of experience as a Data Engineer working on large-scale data systems.
  • Proven track record of delivering production-ready data pipelines in big data environments.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Exposure to

    cloud technologies

    (AWS, Azure, or GCP)
Preferred / Nice-to-Have Skills
  • AWS ecosystem, especially

    EMR (Elastic MapReduce)

  • Trino

    or

    Presto

    for interactive querying
  • Familiarity with

    Lakehouse formats

    (Hudi, Delta, Iceberg)
  • Experience with

    DBT (Data Build Tool)

    for analytics engineering
  • Experience with

    Kafka

    (streaming ingestion)
  • Familiarity with monitoring tools like

    Prometheus

    and

    Grafana

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