Data Engineer

6 - 8 years

0 Lacs

Posted:2 weeks ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience :

Location:


Senior Data Engineer


Key Responsibilities:

  • Design and maintain ETL/ELT pipelines using

    Apache Airflow

    ,

    Azure Databricks

    , and

    Azure Data Factory

  • Build scalable data infrastructure and optimize data workflows
  • Ensure data quality, security, and governance across platforms
  • Collaborate with data scientists and BI developers to support analytics and reporting
  • Monitor and troubleshoot data pipelines for reliability and performance
  • Document data processes and workflows for knowledge sharing

Technical Skills Required:

  • Strong proficiency in

    Python

    (Pandas, NumPy, REST APIs)
  • Advanced

    SQL

    skills (joins, CTEs, performance tuning)
  • Experience with

    Databricks

    ,

    Apache Airflow

    , and

    Azure Cloud Services

  • Knowledge of

    SparkSQL

    ,

    PySpark

    , and containerization using

    Docker

  • Familiarity with

    data lake vs data warehouse

    architectures
  • Experience in

    data security

    ,

    encryption

    , and

    access provisioning

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field
  • Excellent problem-solving and communication skills
  • Ability to work independently and manage end-to-end delivery
  • Comfortable in agile development environments


EEO Statement: Movate provides equal opportunity in all our employment practices to all qualified employees and applicants without regard race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability or genetic information and other characteristics that are protected by applicable law.

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