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Job Type

Full Time

Job Description

Job Title:

Data Engineer – Azure & Modern Data Stack

Experience

Location

Employment Type


Job Summary

Data Engineer

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using

    Azure Data Factory

    and

    Databricks

    .
  • Implement and automate

    ADF pipeline deployments

    via

    Azure DevOps

    CI/CD pipelines.
  • Develop data processing scripts using

    Python

    and orchestrate workflows using

    Apache Airflow

    .
  • Work with structured and semi-structured data in

    PostgreSQL

    and other data platforms.
  • Collaborate with data analysts, BI engineers, and business stakeholders to ensure data quality and usability.
Required Skills
  • Strong hands-on experience with

    Azure Data Factory (ADF)

    and

    Azure DevOps

    for CI/CD deployments.
  • Proficient in

    Python

    for data manipulation and transformation tasks.
  • Experience with

    Apache Airflow

    for workflow orchestration.
  • Solid knowledge of

    Databricks

    for data engineering and transformation tasks.
  • Strong understanding of

    data modeling

    concepts – star/snowflake schema, normalization, etc.
  • Good knowledge of

    PostgreSQL

    or other relational databases.
  • Familiarity with Azure services (e.g., Data Lake, Key Vault, Storage Accounts).


Nice to Have
  • Experience working with Delta Lake or Spark-based architectures.
  • Exposure to monitoring and performance tuning of data pipelines.


If Interested, share your CV at pranjal.kumari@walkingtree.tech



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