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Job Type

Full Time

Job Description

Looking for


About CodeVyasa:


Key Responsibilities

  • Design, develop, and maintain

    data pipelines

    for ingestion, transformation, and storage of large-scale data.
  • Work with

    Big Data ecosystems

    (Hadoop, Spark, Hive, or similar) to process structured and unstructured data.
  • Develop efficient

    ETL processes

    to integrate data from multiple sources into data warehouses/lakes.
  • Write and optimize

    SQL queries

    for data validation, transformation, and analytics.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver reliable solutions.
  • Implement

    data quality, governance, and security standards

    .
  • Optimize data workflows for

    scalability and performance

    in production environments.

Required Skills & Qualifications

  • Proven experience in

    Big Data technologies

    (Hadoop, Spark, Hive, HDFS, Kafka, etc.).
  • Strong expertise in

    SQL

    (query optimization, stored procedures, complex joins).
  • Hands-on experience with

    ETL tools/processes

    (Informatica, Talend, Apache NiFi, Airflow, or custom ETL).
  • Deep understanding of

    Data Warehousing concepts

    (star schema, snowflake schema, fact/dimension tables).
  • Proficiency in programming languages like

    Python, Java, or Scala

    (for data manipulation).
  • Experience with

    cloud platforms

    (AWS Redshift, GCP BigQuery, Azure Synapse, or Snowflake) is a plus.
  • Strong problem-solving and debugging skills.

Preferred Qualifications

  • Experience in

    real-time data streaming

    (Kafka, Flink, Kinesis).
  • Knowledge of

    containerization & orchestration

    (Docker, Kubernetes).
  • Familiarity with

    DevOps practices

    for CI/CD in data engineering.
  • Exposure to

    BI/reporting tools

    (Tableau, Power BI, Looker).


Why Join CodeVyasa?

  • Work on innovative, high-impact projects with a team of top-tier professionals.

  • Continuous learning opportunities and professional growth.

  • Flexible work environment with a supportive company culture.

  • Competitive salary and comprehensive benefits package.

  • Free healthcare coverage.

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