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New Era Technology

Data Platform Engineer III / MS Fabric

Posted 5 Days Ago
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Remote
Hiring Remotely in India
Senior level
Easy Apply
Remote
Hiring Remotely in India
Senior level
Design, build, and optimize scalable data pipelines and analytics solutions using Microsoft Fabric, PySpark, Python, and SQL. Collaborate with stakeholders, manage data governance, and ensure data quality in a Lakehouse architecture.
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At New Era, you'll join a team-oriented culture that prioritizes your personal and professional development. Work alongside industry-certified experts, access continuous training, and enjoy competitive benefits. Guided by our core attributes — putting people first, embracing continuous learning, and thriving through collaboration and inclusion — we nurture our people to deliver exceptional customer service.

If you want to make an impact in a supportive, growth-oriented environment, New Era is the place for you. Apply today and help us shape the future of work—together


Job Title: Senior Data Engineer – Microsoft Fabric

Experience: 6–8 Years
Location: India Remote
Employment Type: Full-time / Contract

Job Summary

We are seeking an experienced Data Engineer with strong expertise in Microsoft Fabric, PySpark, Python, and SQL to design, build, and optimize scalable data pipelines and analytics solutions. The ideal candidate will have hands-on experience with Lakehouse architecture, data integration, and large-scale data processing to support enterprise analytics and reporting.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT processes using Microsoft Fabric and PySpark.
  • Build and manage Lakehouse and Data Warehouse solutions within the Microsoft Fabric ecosystem.
  • Develop scalable data processing workflows using Python and PySpark.
  • Write optimized SQL queries for data transformation, analysis, and performance tuning.
  • Integrate data from various sources such as APIs, databases, cloud storage, and streaming platforms.
  • Implement data modeling techniques to support analytics and reporting requirements.
  • Ensure data quality, governance, and security across the data platform.
  • Monitor and optimize data pipeline performance and reliability.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Document architecture, workflows, and technical processes.

Required Skills

  • Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Factory, Data Warehouse, Notebooks).
  • Expertise in PySpark and Spark-based data processing.
  • Strong programming skills in Python.
  • Advanced knowledge of SQL and database optimization.
  • Experience with ETL/ELT pipeline development.
  • Understanding of data modeling concepts and data warehousing principles.
  • Experience working with large-scale structured and unstructured data.

Preferred Skills

  • Experience with Azure Data Factory / Azure Synapse / Databricks.
  • Knowledge of Power BI integration with Microsoft Fabric.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience with data governance and security frameworks.
  • Exposure to real-time or streaming data processing.

Educational Qualification

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.

Nice to Have

  • Certification in Microsoft Fabric or Azure Data Engineering.
  • Experience working in cloud-based data platforms.

Shift Timings: 2PM to 11PM IST

📩 Interested candidates may share their updated resumes to:
        [email protected] 

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We never ask candidates to pay any fees at any point in our hiring process. If you are ever asked to provide payment for training, certification, equipment, or any other purpose, it is not from our company. Only communications from our official company channels should be trusted. Please note our official email domain is @neweratech.com. If you suspect fraudulent activity, please contact us immediately at [email protected]

Top Skills

Azure Data Factory
Azure Synapse
Databricks
Microsoft Fabric
Power BI
Pyspark
Python
SQL

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