About this role
Data Engineer (Mumbai Location)
Thane West, Maharashtra, India — tk accelis IT Services India Pvt Ltd
Job details
Type of contract: Full-time, Permanent Experience level: Professionals Remote work: Not available Job field: IT Status: Ongoing recruitment, entry date flexible Posting date: 2026/07/29 Job number: 0 RS APA00075 Share job: LinkedInXingE-Mail
Your responsibilities
- Design, build, and enhance batch and near-real-time data pipelines using Microsoft Fabric workloads such as Data Pipelines, Lakehouse, Warehouse, Notebooks, and OneLake.
- Create reusable ingestion, transformation, and orchestration patterns that support scalable analytics and AI consumption across business domains.
- Implement trusted data products by embedding data quality checks, validation rules, metadata enrichment, certification workflows, and lineage capture.
- Work closely with architects, analysts, scientists, and application teams to translate business requirements into robust, high-performing data solutions.
- Partner with governance and security teams to ensure data is appropriately classified, cataloged, protected, and compliant with enterprise standards.
- Optimize platform performance, reliability, and cost across storage, compute, and pipeline execution.
- Contribute to engineering standards, peer reviews, design documentation, and mentoring of less experienced team members.
Your profile
- Minimum 5 to 7+ years of professional experience in data engineering or closely related cloud data roles.
- Track record of delivering production-grade data pipelines and data products in Azure or similar cloud environments.
- Experience working in cross-functional teams using agile delivery practices.
- Experience with regulated, enterprise-scale, or multi-domain data environments is highly desirable.
- Hands-on expertise with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Notebooks, OneLake, and Dataflows.
- Strong programming and query skills in SQL, Python, and PySpark; KQL is an advantage.
- Solid experience with ELT/ETL design, medallion architecture, data modeling, data quality, and performance tuning.
- Practical knowledge of metadata management, lineage, cataloging, and enterprise data governance, ideally with Microsoft Purview.
- Good understanding of Azure platform fundamentals such as identity, storage, networking, and governance controls.
- Strong collaboration and communication skills with the ability to explain technical concepts clearly to business and technical stakeholders.
Contact
tkMits-IN-Recruitment
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