Data Engineering Lead

Key Responsibilities:

• Lead and mentor a team of data engineers across projects and ensure high-quality delivery.
• Design, build, and optimize large-scale data pipelines and data integration workflows using

  ADF

  and

  Synapse Analytics

  .
• Architect and implement scalable data solutions on

  Azure cloud

  , including

  Databricks

  and

  Microsoft Fabric

  .
• Write efficient and maintainable code using

  PySpark and SQL

  for data transformations and processing.
• Collaborate with data architects, analysts, and business stakeholders to define data strategies and requirements.
• Implement and advocate for

  Data Mesh

  principles within the organization.
• Provide architectural guidance and perform solutioning for new and existing data projects on Azure.
• Ensure data quality, governance, and security best practices are followed.
• Stay updated with evolving Azure services and data technologies.

Required Skills & Experience:

• 6+ years

  of professional experience in data engineering and solution architecture.
• Expertise in

  Azure Data Factory (ADF)

  and

  Azure Synapse Analytics

  .
• Strong hands-on experience with

  Databricks

  ,

  PySpark

  , and advanced

  SQL

  .
• Good knowledge of

  Microsoft Fabric

  and its use cases.
• Deep understanding of

  Azure cloud services

  related to data storage, processing, and integration.
• Familiarity with

  Data Mesh architecture

  and distributed data product ownership.
• Strong problem-solving and debugging skills.
• Excellent communication and stakeholder management abilities.

Good to Have:

• Experience with CI/CD pipelines for data solutions.
• Knowledge of data security and compliance practices on Azure.
• Certification in Azure Data Engineering or Solution Architecture.