Data Engineer

Straive; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Straive is seeking a mid-level Azure Data Fabric Engineer to architect and implement modern data solutions within the Microsoft Fabric ecosystem. You will streamline data workflows, implement OneLake architectures, and enable seamless data integration and analytics across the enterprise.

Responsibilities include designing end-to-end pipelines, optimizing storage, and collaborating with data science and BI teams to deliver high-fidelity datasets for GenAI and analytics.

Qualifications

• 3–5 years of Azure data engineering experience with focus on Microsoft Fabric, Synapse Analytics and OneLake.
• Advanced proficiency in Python (PySpark) and complex SQL.
• Hands-on experience with Delta Lake formats, Medallion Architecture and Spark-based processing.
• Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps.
• Strong understanding of Star/Snowflake schemas and semantic modeling.

Responsibilities

• Design and maintain end-to-end data pipelines and Lakehouses within the Microsoft Fabric ecosystem.
• Implement and optimize OneLake structures as a single source of truth for diverse data assets.
• Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory.
• Optimize Fabric capacity and compute usage for cost-efficient, high-speed data processing.
• Collaborate with Data Scientists and BI teams to deliver structured datasets for GenAI and analytics.

Skills

Azure Data Engineering

Microsoft Fabric

Synapse Analytics

OneLake

Python (PySpark)

Complex SQL

Delta Lake

Medallion Architecture

Spark-based processing

Azure Data Factory

CI/CD

Azure DevOps

Star/Snowflake schemas

Semantic modeling

Tools

Delta Lake

Spark

Azure Data Factory

Data Factory

Azure DevOps

Job description

We are seeking a mid-level Azure Data Fabric Engineer to help us architect and implement modern data solutions using the Microsoft Fabric ecosystem. You will be responsible for streamlining data workflows, implementing OneLake architectures, and enabling seamless data integration and analytics across the enterprise.

Key Responsibilities

• Fabric Architecture: Design and maintain end-to-end data pipelines and Lakehouses within the Microsoft Fabric ecosystem.
• Unified Storage: Implement and optimize OneLake structures to create a seamless, single source of truth for diverse data assets.
• Data Engineering: Develop scalable ETL/ELT workflows using Synapse Data Engineering and Data Factory.
• Performance Tuning: Optimize Fabric capacity and compute usage to ensure cost-efficient, high-speed data processing.
• Collaboration: Partner with Data Scientists and BI teams to deliver structured, high-fidelity datasets for GenAI and advanced analytics.

Required Skills and Qualifications

• Ecosystem Mastery: 3-5 years in Azure Data Engineering with focused experience in Microsoft Fabric, Synapse Analytics, and OneLake.
• Languages: Advanced proficiency in Python (PySpark) and Complex SQL.
• Frameworks: Hands‑on experience with Delta Lake formats, Medallion Architecture, and Spark-based processing.
• Orchestration: Proven ability to build and monitor pipelines in Data Factory and manage CI/CD via Azure DevOps.
• Data Modeling: Good understanding of Star/Snowflake schemas and semantic modeling.