Azure Data Engineer
Listed on 2026-02-28
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IT/Tech
Data Engineer, Big Data, Cloud Computing, Data Science Manager
Overview
Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and Data Ops, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.
Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.
We are looking for an experienced Senior Data Engineer with 8–12 years of hands-on experience in designing, building, and optimizing scalable data solutions. The ideal candidate will have strong expertise in Azure Data Services, Databricks, and Py Spark , with a proven track record of building enterprise-grade data pipelines and modern data platforms.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using Azure Databricks and Py Spark
- Build and optimize ETL/ELT workflows for structured and unstructured data
- Develop data solutions leveraging Azure Data Factory, Azure Data Lake, and Azure Synapse
- Implement data transformation and processing frameworks using Py Spark
- Optimize performance tuning of Spark jobs and large-scale data processing
- Design and maintain data models (star/snowflake schemas)
- Ensure data quality, governance, and security best practices
- Collaborate with data scientists, analysts, and business stakeholders
- Support CI/CD deployment pipelines and Dev Ops practices
- Troubleshoot and resolve production data issues
Technical
Skills:
- 8–12 years of experience in Data Engineering
- Strong expertise in Azure Cloud Platform
- Hands-on experience with Azure Databricks
- Advanced proficiency in PySpark and Spark optimization
- Experience with Azure Data Factory (ADF)
- Strong knowledge of Azure Data Lake (ADLS Gen2)
- Experience with Azure Synapse Analytics
- Experience with data warehousing concepts and dimensional modeling
- Knowledge of CI/CD, Git, and Dev Ops practices
- Experience with REST APIs and data integration
- Experience with Delta Lake
- Experience with streaming frameworks (Kafka / Event Hub)
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