Data Engineer - Exillar : Your Trusted Business Intelligence Agency

Location : Ahmedabad, India (On-site)

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




- 2+ years of hands-on experience in data engineering or a closely related role
- Strong 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 solutions - Azure Synapse, Snowflake, BigQuery, or Redshift
- Familiarity with big data technologies - Apache Spark, Databricks, or Kafka
- Understanding of data modeling concepts - normalized, dimensional, and lakehouse architectures
- Experience with version control (Git) and cooperative development practices
- Bachelors degree in Computer Science, Information Technology, or a related field
- Exposure to real-time or streaming data pipelines (Kafka, Azure Event Hubs, or similar)
- Experience with containerization and orchestration - Docker, Kubernetes
- Familiarity with infrastructure-as-code or CI/CD practices in data environments
- Knowledge of data quality frameworks or tools (Great Expectations, Monte Carlo, etc.)
- Basic understanding of ML pipelines and feature stores




- Experience working in Agile or sprint-based delivery teams
- Work on diverse, complex, real-world data engineering challenges across industries
- Direct collaboration with BI, AI/ML, and product teams in an integrated data environment
- Structured growth path within a fast-scaling technology company
- A culture that values engineering excellence, ownership, and continuous learning

Who Will Thrive in This Role

Someone who is obsessed with reliability, thinks upstream before downstream, and finds satisfaction in building pipelines that simply never break. If you treat data as a product - not just a byproduct - this role is built for you.

Data Engineer

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📌 Data Engineer (Ahmedabad)
🏢 Exillar Infotech
📍 Ahmedabad