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Job Type

Contractual

Job Description

seema@talentvelocity.co.in WhatsApp 9870343675.


Job Title: Big Data Architect

Experience:

Location:

Notice Period: 0 to 30 days max


About the Role

Big Data Architect

Key Responsibilities

  • Deliver

    reference architecture

    for

    Hadoop + Cloud integration

    tailored to enterprise-scale environments.
  • Deploy production-grade pipelines

    using HDFS, Spark, and Kafka for batch and real-time data processing.
  • Set up

    best practices

    and implement

    CI/CD

    frameworks for data engineering workflows.
  • Lead

    data performance optimization

    and

    cost-reduction strategies

    across the big data stack.
  • Collaborate with cross-functional teams (data engineers, data scientists, DevOps) to ensure robust, scalable solutions.
  • Provide

    technical leadership

    and mentor junior engineers in big data technologies.

Required Skills & Qualifications

  • 8+ years

    of experience in

    Big Data architecture and engineering

    .
  • Expertise in the

    Hadoop ecosystem

    : HDFS, Hive, Sqoop, Oozie, Pig, Impala.
  • Strong knowledge of

    real-time processing frameworks

    : Kafka, Spark Streaming, Flink.
  • Hands-on experience with

    cloud platforms

    (AWS, GCP, or Azure) – EMR, Dataproc, HDInsight.
  • Proficiency in

    Python, Scala, or Java

    for big data solutions.
  • Experience with

    orchestration tools

    like Airflow or Prefect.
  • Familiarity with

    Lakehouse technologies

    : Delta Lake, Apache Iceberg.
  • Strong understanding of

    data modeling

    ,

    data security

    , and

    governance best practices

    .
  • Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

  • Experience in

    cost-optimization strategies

    for large-scale data platforms.
  • Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
  • Familiarity with CI/CD tools like Jenkins, GitLab CI/CD.
  • Prior experience mentoring and leading engineering teams.


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