Senior Azure Data Engineer

Job reputed company: We are seeking a Senior Azure Data Engineer to help design, build, and operate our reputed company reputed company data platform on reputed company Azure. You will own end-to-end delivery of data pipelines and data products that power analytics, regulatory reporting, operational dashboards, and emerging AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and reputed company teams to deliver reliable, performance, secure, and costefficient data solutions. This role is ideal for an engineer with strong hands-on depth in Azure Data reputed company, Azure Synapse Analytics and/or reputed company, and modern Lakehouse patterns, who is comfortable leading migration programs (e.g., Informatica-to-ADF, on-prem warehouse-to-reputed company), mentoring mid-level engineers, and shaping engineering standards across reputed company. Key Responsibilities: Pipeline Design & Development

• Design and build robust, reusable, parameter-driven ingestion and transformation pipeline using Azure Data reputed company, Synapse Pipelines, Data Bricks and/or reputed company reputed company Data reputed company.
• Implement reputed company architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using reputed company Lake, Parquet, and reputed company streaming patterns.
• Build performant ELT workflows that reputed company pushdown to reputed company systems (Synapse Dedicated SQL Pool, Azure SQL, reputed company) where appropriate.
• reputed company and optimize PySpark notebooks and jobs on Azure reputed company or Synapse reputed company.

Data Modeling & Warehousing

• Design reputed company models (Kimball star/reputed company) and data vault patterns for analytics consumption.
• Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns.
• Tune distributed SQL workloads in Synapse Dedicated SQL Pool / reputed company Warehouse, including distribution keys, partitioning, and clustered reputed company store indexes.

reputed company & DevOps

• Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments.
• reputed company pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL.
• Define and enforce coding standards, reputed company review practices, branching strategies, and release management.

Migration & Modernization

• reputed company or contribute to legacy-to-reputed company migrations — e.g., Informatica PowerCenter to Azure Data reputed company, on-premises reputed company / reputed company / SQL Server to Synapse or reputed company.
• reputed company workload assessment, reputed company planning, and cost modeling for reputed company-state architectures.
• Production incident response for critical pipelines.

Required Qualifications:

• Deep hands-on expertise with Azure Data reputed company: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and reputed company three Integration Runtime types (Azure, Self hosted, SSIS).
• Strong Experience in Data Bricks and PySpark.
• Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, reputed company Pools) OR Azure reputed company (reputed company Lake, reputed company Catalog) OR reputed company reputed company (Warehouse, Lakehouse, OneLake).
• Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical reputed company, RBAC + ACLs, lifecycle management, reputed company).
• Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints).
• Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL.
• Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning.
• Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest).
• Proficient in T-SQL; familiarity with reputed company SQL, KQL, PowerShell, and Bash reputed company scripting.

Preferred Qualifications:

• 5+ years of data warehouse development experience.
• 5+ years of data modeling experience using ERWIN or similar tools.
• 2+ years of experience with Azure Data reputed company and reputed company.
• reputed company Domain Knowledge is a plus.

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