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AZURE SYNAPSE SUPPORT ENGINEER

AZURE SYNAPSE SUPPORT ENGINEER

Texplorers IncMeerut, IN
6 hours ago
Job description

Company Description

Texplorers Inc. drives digital transformation for global enterprises through cutting-edge cloud technologies and AI expertise. Our solutions enable businesses to scale efficiently, optimize operations, and foster continuous innovation. We facilitate seamless knowledge transfer, equipping clients with the digital capabilities and forward-thinking strategies necessary for sustained success. Our focus on intuitive design, automation, and scalable architecture ensures seamless digital transitions, while our unified data governance and AI-powered insights fortify decision-making and resilience.

s.

RESPON

  • Monitor and troubleshoot Synapse pipelines, notebooks, and SQL scripts
  • Maintain and optimize Synapse Dedicated SQL Pools (formerly SQL DW)
  • Build and support data ingestion using Synapse pipelines or Data Flows
  • Write and optimize SQL queries for large datasets (partitioning, performance tuning)
  • Work closely with data engineering and BI teams to support data modeling needs
  • Ensure data quality, lineage, and governance compliance
  • Manage access control and workspace-level security in Synapse
  • Support releases and coordinate deployments to dev / test / prod environments

Required Skills

  • 3+ years of experience in Azure Synapse Analytics (Pipelines + SQL Pools)
  • Proficient in writing T-SQL queries for performance
  • Experience with Azure Data Lake Gen2 and storage integration
  • Hands-on experience with Azure Data Factory (ADF)
  • Understanding of Spark Notebooks, Delta Lake concepts (if using serverless pools)
  • Familiarity with CI / CD and Azure DevOps for pipeline deployments
  • Knowledge of cost / performance management in Azure DW environments
  • Nice to Have

  • Exposure to Azure Purview or Unity Catalog
  • Experience in Power BI integration with Synapse
  • Data modeling skills (dimensional modeling, star / snowflake schema)
  • Awareness of GDPR / data security and privacy practi
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