Sr. Data Engineer (SQL / Databricks / PySpark)

TalentOla View all jobs
Chicago, United States of America
21 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Chicago, United States of America

Tech stack

Java
.NET
API
Unit Testing
Azure
Big Data
Cloud Database
Code Coverage
Code Review
Continuous Integration
Data Validation
ETL
Software Debugging
Python
Microsoft SQL Server
SQL Azure
Performance Tuning
Azure
SQL Databases
Systems Integration
TypeScript
Enterprise Data Management
Data Logging
Pulumi
Scripting (Bash/Python/Go/Ruby)
Azure
Spring-boot
Data Lake
Angular
PySpark
Integration Tests
Data Pipelines
Azure
Databricks

Job description

Seeking a Senior Data Engineer with deep expertise in SQL Server, Azure SQL, and Databricks to design, optimize, and deliver scalable cloud-based data solutions supporting analytics and enterprise data platforms. 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)

Requirements

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
  • Technical certification in multiple technologies is desirable.

Skills: - 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
  • Local to Chicago, IL required as this needs candidates to go for in person client interview and 3 days Work from Office per Week.

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., Trading Operations Engineer, Need Scripting and SQL, Chicago, IL We are seeking a motivated team player with technical aptitude and market awareness to support the operation of a…
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Benefits & conditions

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