Data Engineer

Key Responsibilities

• Design, build, and maintain

  scalable data pipelines

  using

  Microsoft Fabric

  and

  Azure Data Factory

  .
• Develop

  data transformation workflows

  using

  Python

  and

  PySpark

  .
• Implement

  dimensional modeling techniques

  to support analytics and reporting.
• Manage and optimize

  large-scale data processing

  in

  Databricks

  or

  Snowflake

  .
• Write

  efficient SQL queries

  for ETL, validation, and analytics use cases.
• Collaborate with analysts and business teams to build

  Power BI dashboards

  and ensure data availability.
• Ensure

  data quality, reliability, and governance

  across the entire data lifecycle.
• Monitor and troubleshoot

  data pipelines

  , improving performance and scalability.
• Document

  data models, workflows, and best practices

  for cross-team usage.

What We’re Looking For

• 3+ years of experience

  as a Data Engineer (or similar role).
• Strong expertise with

  Microsoft Fabric

  and

  Azure Data Factory

  .
• Proficiency in

  Python

  and

  PySpark

  for data processing.
• Solid experience with

  SQL

  and

  relational databases

  .
• Proven experience in

  dimensional modeling

  for data warehouses.
• Hands-on experience with

  Power BI

  for visualization and analytics.
• Familiarity with

  cloud-based big data platforms

  (Databricks or Snowflake preferred).
• Strong

  problem-solving skills

  and excellent

  cross-team communication

  .

Nice to Have

• Experience with

  data governance, cataloging, and security

  best practices.
• Knowledge of

  CI/CD pipelines

  for data workflows.
• Exposure to

  other BI tools or ETL platforms

  .