Azure Data Engineer

THIS IS A HYBRID, OFFICE BASED POSITION WORKING AT OUR ELLIS PRESERVE OFFICE LOCATED IN NEWTOWN SQUARE, PA.

WE WILL NOT CONSIDER REMOTE CANDIDATES!

Role Overview

The Azure Data Engineer designs, builds, and optimizes large scale cloud data solutions on Microsoft Azure. The role requires deep hands on expertise with modern ingestion frameworks to ingest diverse data sources, on distributed compute, real-time streaming, and dimensional modeling, combined with agile delivery practices.

Work Arrangement

* This is a HYBRID, office based position working in our Ellis Preserve office located in Newtown Square, PA. Core offcie days are Tuesday, Wednesday, and Thursday.

Responsibilities

• Architecture & Implementation: Design and implement scalable engineering solutions using Azure Data Factory, Azure Databricks, Azure Event Hubs, Kafka, HVR, Snowflake, and Azure Data Lake Storage
• Pipeline Development: Build robust ETL/ELT pipelines for batch and streaming workloads using PySpark and SQL, ensuring fault tolerance, schema evolution handling, and idempotency
• Real time Integration: Design and operate event driven ingestion and processing using Event Hubs and Kafka, and integrate CDC solutions using HVR
• Performance Optimization: Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle optimization, Delta Lake optimizations) to meet SLAs and cost targets
• DevOps & CI/CD: Use Azure DevOps for backlog management, Git workflows, YAML pipelines, automated testing, and repeatable deployments across environments
• Code Quality & Mentorship: Perform code reviews, enforce coding standards and best practices, and mentor junior developers to raise team capability
• Stakeholder Collaboration: Work with product owners, data scientists, analysts, and architects to translate business requirements into prioritized user stories and deliverables in Agile sprints
• **Identify, design, and...