Senior Data Engineer

Job Description

Senior Data EngineerLocation - Chicago, IL (3 days onsite mandatory) Rate – 65-70 Databricks, ADFRole Overview The Senior Data Engineer will design, build, and optimize scalable data pipelines and solutions leveraging Databricks, Python, ETL, DevOps. This role requires strong experience in cloud-based data platforms and advanced data engineering practices to support analytics and business intelligence initiatives.Key ResponsibilitiesArchitect and implement data pipelines using Databricks and Delta Lake for batch and streaming data.Develop and maintain ETL/ELT workflows integrating diverse data sources into cloud data lakes and warehouses.Implement data governance, security, and compliance standards.Automate workflows using Python scripting and CI/CD pipelines.Troubleshoot and resolve issues in data ingestion, transformation, and storage.Required Skills & Experience8+ years in data engineering or related roles.Expert-level Python programming for data processing and automation.Hands-on experience with Databricks and Delta Lake.Strong knowledge of Azure Data Factory, Data Lake, and Synapse (or equivalent cloud platforms).Proficiency in SQL and performance tuning.Familiarity with DevOps practices, CI/CD, and infrastructure-as-code tools.Experience with data migration and cloud-native architectures.

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Senior Data Engineer

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