Data Specialist

Role:

Location - Multiple

Experience:

Key Responsibilities

• Architect and implement

  end-to-end data pipelines

  ,

  data lakes

  , and

  data warehouses

  on Azure.
• Build and optimize

  data processing workflows

  using

  PySpark

  and

  Python

  .
• Design

  data governance and metadata management frameworks

  leveraging

  MS Fabric or Unity Catalog (mandatory)

  .
• Collaborate with BI developers and data engineers to deliver

  high-performance analytics solutions

  .
• Establish

  best practices for data quality, lineage, and access control

  across environments.
• Lead the adoption of

  modern BI tools and cloud-native architectures

  (Synapse, Power BI, Databricks).
• Drive

  process and performance optimization

  for faster, reliable data delivery.
• Mentor junior engineers and guide technical solution design.

Skills & Qualifications

• 5+ years

  of experience in

  Data Architecture / BI / Data Engineering

  .
• Minimum 3

  years of hands-on experience

  in

  Azure Data Services

  Data Factory, Databricks, Synapse, Power BI, Azure SQL DB.
• Expertise in

  ETL/ELT processes

  ,

  data modeling

  , and

  data warehouse design

  .
• Strong proficiency in

  Python

  and

  PySpark

  .

• Mandatory:

  Experience with

  either Microsoft Fabric or Unity Catalog

  .
• Familiarity with

  Agile development

  and

  cloud architecture best practices

  .
• Exposure to

  SAP/ERP/Datasphere

  data modeling is a plus.
• Excellent problem-solving, communication, and documentation skills.
• Bachelors or master's degree in computer science Computer

  Computer Science, Information Systems

  , or equivalent field.