Role Overview
We are looking for a skilled and self-driven Data Engineer to join our engineering team. In this role, you will be responsible for building and maintaining the data infrastructure that powers analytics, reporting, and AI/ML workloads.
You will work closely with BI Developers, AI/ML Engineers, and business stakeholders to ensure data is accurate, accessible, and pipeline-ready at all times.
This role is ideal for someone who enjoys solving complex data movement and transformation challenges at scale - and takes pride in building systems that others can rely on.

Key Responsibilities
Design, build, and maintain robust, scalable data pipelines (batch and streaming) for ingestion, transformation, and delivery
Develop and manage ETL/ELT workflows to move data across sources, warehouses, and consumption layers
Architect and maintain data warehouse and data lake structures optimized for performance and cost
Ensure data quality, consistency, and integrity across all pipelines and storage layers
Collaborate with BI Developers to provide clean, well-modeled,



query-ready data
Work with AI/ML Engineers to prepare, version, and serve feature-ready datasets
Monitor, troubleshoot, and optimize pipeline performance and reliability
Implement and enforce data governance practices - lineage, cataloging, access controls, and documentation
Evaluate and recommend tools, technologies, and architectural improvements as data needs evolve

Required Skills & Qualifications
2+ years of hands-on experience in data engineering or a closely related role
Robust proficiency in Python for data processing, pipeline development, and automation
Solid command of SQL - complex transformations, performance optimization, and database management
Hands-on experience with ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or similar
Experience with cloud data platforms - Microsoft Azure (preferred), AWS, or GCP
Working knowledge of data warehousing

📌 Data Engineer Ahmedabad
🏢 Exillar
📍 Ahmedabad