ADF Developer

Job Title: Azure Data Factory (ADF) Developer

Experience Level: 5+ Years

Job Overview

We are seeking an experienced Azure Data Factory (ADF) Developer with 5+ years of hands-on data engineering experience to join our growing data platform team. In this role, you will be responsible for designing, building, and optimizing scalable ETL/ELT pipelines in Microsoft Azure, moving and transforming data from diverse sources into enterprise data stores. The ideal candidate possesses strong technical expertise in cloud data architecture, excellent problem-solving skills, and exceptional written and verbal communication abilities to effectively with cross-functional technical teams, business stakeholders, and client partners.

Key Responsibilities

Pipeline Architecture & Development: Design, build, deploy, and maintain end-to-end

scalable data pipelines using Azure Data Factory (ADF) (Data Flows, Mapping Data

Flows, Pipelines, Triggers, and Linked Services).

Data Integration: Ingest data from various structured, semi-structured, and unstructured

sources (APIs, Azure Blob/ADLS Gen2, SQL Databases, REST endpoints).

Automation & DevOps: Maintain CI/CD pipelines using Azure DevOps for automated

code deployment, testing, and lifecycle management of data assets.

Monitoring & Support: Set up robust logging, alerting, and failure recovery

mechanisms using Azure Monitor / Log Analytics.

Collaboration & Stakeholder Management: Translate business requirements into

clear technical specifications, communicate project statuses, and present architectural

solutions clearly to non-technical stakeholders.

Required Technical Skills

5+ years of hands-on experience in Data Engineering / Data Integration roles.

3+ years of dedicated experience building and deploying batch & real-time pipelines

using Azure Data Factory.

Deep proficiency in Advanced SQL (Stored procedures, performance tuning, indexing,

complex joins, analytical window functions).

Familiarity with data modeling concepts (Star Schema, Snowflake Schema, Data

Warehousing fundamentals).