MS Fabric Data Engineer

Job Description

• Skill Set :

  Data Fabric

• Total Experience :

  7.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  06/10/2026

• Job Expiry Date :

  30/11/2026

• Domain :

  IT

• Location :

  PUNE [India]

• Job Reference No :

  4111154

Job Summary

Job Title: Senior Data Engineer

Location: TechM Pune Hinjewadi Plot 1

Years of Experience: 5 7 Years

Job Summary:

We are seeking a highly skilled and hands on Senior Data Engineer to lead an offshore engineering pod. The ideal candidate will possess extensive experience in building and tuning data pipelines using Fabric Data Factory, orchestrating workloads through Fabric Airflow, and managing Lakehouse and Warehouse items in OneLake. You will be responsible for configuring shortcuts to ADLS Gen2, AWS S3, and GCP Cloud Storage, with a solid understanding of caching and egress behavior.

Responsibilities:

• Lead the offshore engineering pod, providing mentorship and guidance to team members.
• Design, build, and optimize data pipelines in Fabric Data Factory.
• Orchestrate workloads using Fabric Airflow to ensure efficient data processing.
• Manage Lakehouse and Warehouse items in OneLake, including configuration of shortcuts to various cloud storage solutions.
• Implement and maintain Direct Lake semantic model configurations and Oracle mirroring setups.
• Utilize Spark, PySpark, SQL, T SQL, and Delta Lake for data processing and transformation.
• Conduct interoperability testing with Databricks and Snowflake to ensure seamless integration.
• Utilize Azure DevOps and Git for version control and CI/CD of Fabric artifacts.
• Monitor consumption using the Fabric Capacity Metrics app and perform disciplined benchmarking.
• Document technical processes and maintain clean technical documentation.
• Coordinate across time zones with an onsite architect to ensure project alignment.

Mandatory Skills:

• Strong experience with Data Fabric technologies.
• Proficient in building and tuning pipelines in Fabric Data Factory.
• Hands on experience with Fabric Airflow for workload orchestration.
• Expertise in managing Lakehouse and Warehouse items in OneLake.
• Solid understanding of cloud storage solutions: ADLS Gen2, AWS S3, and GCP Cloud Storage.
• Proficient in Spark, PySpark, SQL, T SQL, and Delta Lake.
• Experience with Direct Lake semantic model configuration and Oracle mirroring setup.
• Familiarity with Databricks and Snowflake for interoperability testing.
• Fluency in Azure DevOps and Git for version control and CI/CD.
• Experience using the Fabric Capacity Metrics app for monitoring.

Preferred Skills:

• Experience in mentoring and leading engineering teams.
• Strong analytical and problem solving skills.
• Excellent communication skills, both verbal and written.
• Ability to work effectively across different time zones.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5 7 years of experience in data engineering or a related role.
• Proven track record of successfully leading data engineering projects.