Posted:1 month ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

contact@integeltechnology.com

Experience:

Interview Mode:

Data Engineer.

Roles & Responsibilities

  • Design, build, and maintain

    ETL/ELT data pipelines

    for batch and real-time processing.
  • Develop scalable data workflows using

    Python, SQL, PySpark/Spark SQL

    .
  • Implement and manage

    data lakes and data warehouses

    (Snowflake, Redshift, BigQuery, Synapse).
  • Integrate data from multiple sources using

    Airflow, ADF, Glue, or other orchestration tools

    .
  • Ensure

    data quality, data validation, and governance

    across all data assets.
  • Optimize data pipelines for

    performance, scalability, and cost efficiency.

  • Work with big data frameworks like

    Hadoop, Hive, Spark, Kafka

    .
  • Collaborate with

    Data Scientists, Analysts, Product Teams

    to deliver data solutions.
  • Implement

    monitoring, logging, and alerting

    for pipelines and data platforms.
  • Maintain and enhance database systems (PostgreSQL, MySQL, MongoDB, Cassandra).
  • Ensure compliance with

    security, privacy, and industry data standards

    .

Required Skills

  • Strong expertise in

    SQL

    (advanced level).
  • Proficiency in

    Python

    for data engineering tasks.
  • Experience with

    Apache Spark / PySpark

    .
  • Hands-on with

    Airflow / ADF / Glue

    or similar tools.
  • Experience with

    AWS / Azure / GCP

    cloud services.
  • Knowledge of

    data modeling

    , schema design, and dimensional modeling.
  • Experience with

    Snowflake / Redshift / BigQuery

    (any one).
  • Knowledge of

    Kafka / Streaming technologies.

  • Understanding of

    data lake / delta lake architecture

    .
  • Version control:

    Git / GitLab / GitHub

    .

contact@integeltechnology.com

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