Creospan- Microsoft Fabric Data Engineer

Posted 2 Days Ago
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Pune, Maharashtra, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design, develop, and maintain ETL/data pipelines using Microsoft Fabric and Azure. Build and optimize OneLake/Lakehouse solutions, integrate multiple data sources, implement transformations with SQL, Python, and PySpark, ensure data quality and performance, collaborate with stakeholders, and maintain documentation.
Summary Generated by Built In

Position: Microsoft Fabric Data Engineer
Client: Brunswick
Experience: 7–9 Years
Location: Pune (Hybrid – Kharadi)

Notice Period: Immediate joiners to 1 week servingJob DescriptionWe are looking for an experienced Microsoft Fabric Data Engineer with strong hands-on experience in Microsoft Fabric and Azure data technologies.Key Responsibilities:

  • Design, develop, and maintain ETL/data pipelines using Microsoft Fabric Data Factory.
  • Build and optimize data solutions using Microsoft Fabric, OneLake, Lakehouse, and Fabric Notebooks.
  • Integrate data from multiple sources into a unified data platform.
  • Develop data transformation workflows using SQL, Python, and PySpark.
  • Ensure data quality, validation, monitoring, and performance optimization.
  • Collaborate with business and technical teams to deliver scalable data solutions.
  • Maintain documentation for data pipelines and solution architecture.

Required Skills:

  • 7–9 years of experience in Data Engineering.
  • Hands-on experience with Microsoft Fabric.
  • Strong experience with Azure Data Factory (ADF) and/or Azure Synapse Analytics.
  • Strong SQL, Python, and PySpark skills.
  • Experience building end-to-end ETL/data pipelines and data integration solutions.
  • Good understanding of OneLake, Lakehouse, and cloud data platforms.
  • Strong analytical and problem-solving skills.

About Creospan:

Creospan is a subsidiary of Creospan Inc., our parent company, headquartered in Chicago, IL. We help companies formulate and implement their digital transformation strategy. We specialize in practice areas such as Digital Strategy, Data and Insights, Product Development, Agile Transformation, and Innovation Lab. That’s how Creospan’s innovative technologies, methodical processes, actionable insights, and industry knowledge come together to deliver end-to-end services and create a new generation of digital offerings for your organization and end customers. From our humble beginnings in 1999 – with just a handful of employees and a mission to help our clients leverage emerging web technologies to build next-generation products – technology has changed dramatically, yet our curiosity has remained constant. Our expertise spans Telecom, Technology, Manufacturing, Ecommerce, Insurance, Banking, Transportation, and Healthcare.
With decades of experience in digital transformation and wide recognition in their respective fields, our leaders set a high personal and professional bar. In addition to broad subject matter expertise and deep focus in their fields, they bring high ethical standards and dedication to building better on-strategy solutions. We aim to empower a happier, more motivated workforce that supports the multifaceted identities of employees by cultivating an environment of understanding and belonging among our employees, so they feel supported enough to bring their authentic selves and unique perspectives to work.

Skills Required

  • 7-9 years of experience in Data Engineering
  • Hands-on experience with Microsoft Fabric
  • Experience with Azure Data Factory (ADF) and/or Azure Synapse Analytics
  • Strong SQL skills
  • Strong Python skills
  • Strong PySpark skills
  • Experience building end-to-end ETL/data pipelines and data integration solutions
  • Good understanding of OneLake and Lakehouse architectures
  • Experience with Fabric Notebooks
  • Strong analytical and problem-solving skills
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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