We’re Hiring: Data Engineer (Cloud & Analytics)

Role Overview

We are looking for a seasoned Data Engineer passionate about building cutting-edge cloud data solutions. You will design, optimize, and scale cloud-based data architecture and high-performance ETL/ELT pipelines using a modern stack including Azure, PySpark, and Microsoft Fabric.

Responsibilities

• Design, build, and maintain robust end-to-end ETL/ELT pipelines for large-scale datasets.
• Develop data workflows using Microsoft Fabric Data Factory, Notebooks, and PySpark.
• Manage Lakehouse and OneLake centralized storage to power enterprise analytics.
• Migrate legacy databases to Azure SQL/Synapse SQL and optimize performance.
• Automate data workflows using Azure Functions and ADF triggers.
• Build and refine SQL Server objects including stored procedures, views, and triggers.
• Provide operational support across various shifts and on-call rotations.
• Collaborate with Data Scientists and Business Analysts to deliver production-ready datasets.

Requirements

• 5+ years of experience in cloud data engineering and big data processing.
• Deep hands-on experience with Azure Databricks, Azure Synapse Analytics, and ADLS.
• 6+ months of hands-on experience with Microsoft Fabric Pipelines, Data Factory, and Notebooks.
• Advanced proficiency in PySpark, Delta Lake, and expert-level SQL.
• Bachelor’s or Master’s degree in CS, IT, or a related field.

Skills

• PySpark
• Azure Databricks
• Microsoft Fabric
• SQL
• Azure Synapse Analytics

Nice to Have

• Microsoft Certifications (e.g., DP-700).
• MBA or equivalent technical degree.