Apply For Data Engineer About Exillar Exillar is an Ahmedabad-based technology company specializing in Business Intelligence, Data Engineering, and AI-powered solutions. We partner with businesses to build scalable data infrastructure, modern data pipelines, and intelligent systems that turn raw data into strategic advantage.

Location : Ahmedabad, India (On-site)
Experience: 2+ Years

Apply for Role 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
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 collaborative development practices
Bachelor's degree in Computer Science, Information Technology, or a related field

Good to Have

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

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. What We Offer

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

Data Engineer

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