Budget- 4-6 years max- 1.6LPM
6-8 years max- 1.4 - 1.5 LPM
Mandatory Fabric Experience ( 2+ Years )
We are hiring a Data Engineer with 4 8 years of experience in building scalable data pipelines using Azure Data Factory, SQL, and PySpark, with exposure to Microsoft Fabric and modern Lakehouse architectures.
Key Skills
1. Strong SQL (T-SQL/PL-SQL): query optimization, performance tuning
2. Hands-on Azure Data Factory (ADF): pipeline design, orchestration, monitoring
3. Experience with PySpark / Databricks or Fabric Spark
4. Working knowledge of Microsoft Fabric (Lakehouse, Dataflows, Pipelines, OneLake)
5. Good understanding of Data Warehousing concepts (SCD, star schema)
6. Experience with Azure Data Services (ADLS Gen2, Azure SQL / Synapse)
7. Familiarity with CI/CD & DevOps (Azure DevOps, Git)
Responsibilities
1. Design and build ETL/ELT pipelines using ADF and/or Fabric
2.
Develop scalable data transformations using SQL & PySpark
3. Implement data models and Lakehouse architectures
4. Perform data cleansing, migration, and validation
5. Monitor, troubleshoot, and optimize pipeline performance
6. Support testing, deployments, and CI/CD processes
7. Collaborate with cross-functional teams and stakeholders
Valuable to Have
1. Exposure to streaming (Event Hub/Kafka)
2. Experience with Power BI / Fabric semantic models
3. Understanding of data security & governance
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Fabric Data Engineer (Noida)
🏢 Sparix Global
📍 Noida
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