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The average salary range is between $ 68,445 and $ 111,088 year , with the average salary hovering around $ 95,000 year .
The average salary range is between $ 75,163 and $ 125,932 year , with the average salary hovering around $ 95,000 year .
Experience: 8+ Years
Location: Chicago, IL (Hybrid 3 days Work from Office)
Duration: -12+ months
Educational Qualifications: - Engineering Degree BE/ME/BTech/MTech/BSc/MSc. Technical certification in multiple technologies is desirable.
Mandatory skills
ETL / ELT Concepts: Strong understanding of pipeline patterns, incremental loads, data validation, and troubleshooting.
SQL: Advanced querying (CTEs, views, joins, complex query logic) and performance tuning for transformations and validation. Python: Production-quality development (modular code, testing, logging, integration with APIs/files, CICD, Unit Test/Integration test automation, Code Coverage).
PySpark: Distributed transformations and performance optimization (joins, partitions, debugging), CICD, Unit Test/Integration test automation, Code Coverage.
Azure Data Factory (ADF): Build/operate ADF pipelines, parameterization, triggers, monitoring, retry/error handling; integrate with Databricks/ADLS.
Databricks: Develop and operationalize notebooks/jobs/workflows; Delta Lake patterns; basic cluster/job configuration.
Azure Fundamentals + Pulumi: Hands-on with ADLS Gen2, Azure Portal, Storage Explorer, Resource Groups, Azure SQL, and familiarity integrating with Azure OpenAI. Able to use/maintain Pulumi scripts for provisioning and managing Azure resources across environments
Roles and Responsibilities
Design, build, and support end-to-end data pipelines (ingestion, transformation, validation, publishing). Develop and optimize SQL and PySpark/Databricks transformations for large datasets.
Build production-grade Python components (reusable modules, logging, error handling, testing). Create and maintain Azure Data Factory (ADF) pipelines (triggers, parameterization, monitoring, failure handling).
Work within Azure environments (ADLS Gen2, Azure SQL, resource groups, portal operations).
Provision and maintain Azure components using Pulumi (Infrastructure as Code). Participate in code reviews, documentation, and operational support (triage + root cause analysis)
Nice to have skills: -
Ability to support/translate validation rules with SQL scripts and create data quality reports. TypeScript: Useful for pulumi pipeline to create Azure components.
Java: Useful for integration with existing services/components.
.NET: Useful for integration with existing services/components. Angular / Spring Boot: Minor troubleshooting or coordination with app teams.
Domain : Clinical (Health care)
VeeRteq Solutions is an Equal Opportunity Employer
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