Data Engineer

Job Overview

Senior Analytics Specialist

Youll collaborate with data engineers, analysts, and business stakeholders to build end-to-end data pipelines, deliver impactful dashboards, and automate business workflows.

Key Responsibilities

• Design and implement scalable data pipelines using

  Azure Data Factory

• Perform advanced data transformations and modeling in

  SQL Server

  and

  Databricks

• Build intuitive, interactive dashboards and reports using

  Power BI

• Develop low-code/no-code solutions with

  Power Apps

  and

  Power Automate

• Ensure data governance, security, and compliance across analytic platforms
• Work closely with business users to gather requirements and deliver actionable insights
• Optimize analytics workflows for performance and reliability
• Mentor junior data professionals and contribute to team best practices
• Monitor industry trends and champion innovative data solutions

Required Skills & Expertise

• Proven experience with

  Azure Data Factory

  , including pipeline orchestration
• Deep proficiency in writing optimized

  SQL

  queries and working with relational databases
• Solid hands-on experience with

  Databricks

  (PySpark or SparkSQL)
• Strong command of

  Power BI

  including DAX, M query, and data modeling
• Experience with

  Microsoft Power Platform

  (Power Apps, Power Automate)
• Knowledge of data warehousing concepts, ETL processes, and cloud-based analytics
• Understanding of security best practices and data governance in cloud environments
• Excellent communication and problem-solving abilities

Preferred Qualifications

• Experience with

  Azure Synapse Analytics

  ,

  ADF Mapping/Data Flow

• Exposure to

  Azure Functions

  ,

  Logic Apps

  , or

  Data Lake Storage

• Familiarity with

  DevOps

  ,

  Git

  , and CI/CD pipelines for data projects
• Certification in Power BI, Azure Data Engineer, or Power Platform tools