Area(s) of responsibility
We are seeking an experienced Azure Synapse Performance Engineer with strong expertise in Azure Synapse Analytics, Azure Data Factory, ETL/ELT optimization, SQL performance tuning, and Data Warehouse architecture. The ideal candidate will be responsible for designing, optimizing, and troubleshooting enterprise-scale analytics platforms, data pipelines, and data warehouse workloads while ensuring high performance, scalability, and reliability. Similar responsibilities are referenced in internal documentation related to Azure Synapse, Data Lakes, ETL optimization, pipeline orchestration, and performance tuning.
Key Responsibilities
Azure Synapse & Data Engineering

Design, develop, and optimize solutions using Azure Synapse Analytics.
Build and maintain data integration solutions using Azure Data Factory (ADF) and Synapse Pipelines.
Design and implement scalable Data Lake architectures (ADLS Gen2).
Develop high-performance ETL/ELT frameworks for enterprise data platforms.
Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.




Identify performance bottlenecks and implement optimization strategies across data movement and transformation processes.
Ensure data quality, availability, and reliability across analytics ecosystems. These responsibilities align with internally referenced practices around data warehousing, ETL optimization, data lakes, and Synapse performance tuning. [25543668-c...(phone hidden) | Word]

SQL & Data Warehouse Performance

Perform advanced SQL query analysis and optimization.
Analyze and optimize execution plans for complex analytical workloads.
Configure and tune Synapse Dedicated SQL Pools.
Design and implement productive partitioning strategies for large datasets.
Optimize indexing, statistics, and workload distribution.
Perform capacity planning and performance benchmarking.
Support data warehouse modernization and optimization initiatives.

Required Technical Skills
Azure Technolog

📌 Azure Synapse + Data Warehouse (Noida)
🏢 Birlasoft
📍 Noida