Data Developer

Summary: Develops scripts, processes, and tools to ingest, transform, and deliver data in a MS Fabric environment to support analytics and reporting needs.

Lakehouse Architecture & Platform Engineering

Design, build, and maintain scalable lakehouse architecture in Microsoft Fabric and OneLake

Ensure high availability, reliability, and performance of data platforms

Data Pipelines & Ingestion

Build and maintain end-to-end data pipelines for ingestion, transformation, and serving

Develop scalable ingestion frameworks for batch and real-time sources (APIs, databases, event streams)

Integrate enterprise systems (Jira, ERP, CRM, flat files, streaming sources)

Data Processing & Transformation

Develop and execute large-scale Spark jobs (batch and streaming)

Author and maintain notebooks (PySpark, SQL) for transformation and analysis

Implement data cleansing, enrichment, and transformation logic

Data Quality & Integration

Build ingestion logic for structured, semi-structured, and unstructured data

Implement data validation and quality controls

Data Enablement

Deliver analytics-ready datasets for Power BI and downstream consumption

Skill Requirements

• Microsoft Fabric (Lakehouse, OneLake, Pipelines, Notebooks)

• Apache Spark (PySpark, Spark SQL)

• SQL

• Python

• Delta Lake / Delta Tables

• Data Pipeline Design (ETL / ELT)

• API & Streaming Data Integration