Ready to Build Data That Actually Matters? At Exillar Infotech Pvt Ltd. , we don’t just move data — we move decisions. We’re looking for a Data Engineer who’s equal parts tech wizard and problem solver. If you’re fluent in Python, SQL, Azure, and dreams of scalable pipelines — let’s talk! ⸻ What You’ll Be Doing (aka Your Superpowers): • Build and maintain end-to-end ETL pipelines using ADF & Python • Transform data using PySpark notebooks in Azure Databricks • Design cloud-native architecture with Synapse, Delta Lake, Azure SQL • Optimize queries, procedures, and automate deployments via Azure DevOps • Collaborate across teams and make data cleaner, faster, smarter • Ensure security, performance, and compliance of data systems ⸻ What We’re Looking For: • 1+ years of experience as a Data Engineer • Proficiency in Azure Data Factory, Synapse, Databricks, SQL & Python • Experience with Delta Lake, Snowflake, PostgreSQL • Git, CI/CD, DevOps — we love engineers who automate everything • Strong logic, problem-solving chops & a good sense of data humor ⸻ Why You’ll Love Working With Us Be Part of Something Bigger Join a forward-thinking, automation-driven team that leads with innovation. Grow with the Flow Level up in a data-first space that fuels learning and creativity. Real Work, Real Impact Build powerful systems that drive decisions across industries. Supportive, Not Corporate Flat structure, friendly team, and zero micromanagement. Flex Your Flexibility flexible hours to match your rhythm.

You will be responsible for designing, developing, and maintaining scalable data pipelines using Azure Databricks. Your role will involve building and optimizing ETL/ELT processes for structured and unstructured data, collaborating with data scientists, analysts, and business stakeholders, integrating Databricks with Azure Data Lake, Synapse, Data Factory, and Blob Storage, developing real-time data streaming pipelines, and managing data models/data warehouses. Additionally, you will optimize performance, manage resources, ensure cost efficiency, implement best practices for data governance, security, and quality, troubleshoot and improve existing data workflows, contribute to architecture and technology strategy, mentor junior team members, and maintain documentation. To excel in this role, you should have a Bachelor's/Master's degree in Computer Science, IT, or a related field, along with 5+ years of Data Engineering experience (minimum 2+ years with Databricks). Strong expertise in Azure cloud services (Data Lake, Synapse, Data Factory), proficiency in Spark (PySpark/Scala) and big data processing, experience with Delta Lake, Structured Streaming, and real-time pipelines, strong SQL skills, an understanding of data modeling and warehousing, familiarity with DevOps tools like CI/CD, Git, Terraform, Azure DevOps, excellent problem-solving and communication skills are essential. Preferred qualifications include Databricks Certified (Associate/Professional), experience with machine learning workflows on Databricks, knowledge of data governance tools like Purview, experience with REST APIs, Kafka, Event Hubs, cloud performance tuning, and cost optimization experience. Join us to be a part of a supportive and collaborative team, work with a growing company in the exciting BI and Data industry, enjoy a competitive salary and performance-based bonuses, and have opportunities for professional growth and development. If you are interested in this opportunity, please send your resume to hr@exillar.com and fill out the form at https://forms.office.com/r/HdzMNTaagw.,