Senior Data Engineer
Akaasa Technologies
Senior Data Engineer
Location: Chicago, IL or Minneapolis, MN (Hybrid 3 to 4 Days Onsite/Week)
Duration: 6 10 Months Contract
Interview: Virtual round
Technical Skills
Azure | Azure Databricks | Azure Data Factory (ADF) | Kafka | Data Engineering | Data Migration | Data Lakes | MongoDB | NoSQL | Cloud Architecture | Enterprise Data Platforms | Data Integration | ETL/ELT | AI Enablement | Big Data
Note:
- Must be local with DL copy
- LinkedIn with location and photo (before 2023)
Position Overview
Our client is seeking a Senior Data Engineer to design, develop, and modernize enterprise-scale data platforms. The ideal candidate will have strong expertise in Azure, Databricks, Azure Data Factory (ADF), Kafka, and large-scale data architecture , along with experience delivering cloud-based data migration and modernization initiatives.
Note: This position was previously shared with a different location. Candidates must be local to Chicago, IL or Minneapolis, MN and able to work onsite 3 4 days per week .
Key Responsibilities
- Design and implement scalable cloud-based data solutions using Azure, Databricks, and Azure Data Factory (ADF) .
- Build and support enterprise data architectures capable of handling high-volume data processing.
- Develop and optimize data pipelines for ingestion, transformation, and integration.
- Lead large-scale data migration initiatives while ensuring data quality and consistency.
- Work with modern data platforms including Data Lakes, Kafka, and NoSQL databases .
- Collaborate with cross-functional teams to deliver secure, reliable, and scalable data solutions.
- Support AI-enabled data modernization initiatives and intelligent analytics capabilities.
Required Skills & Experience
- Strong experience designing and implementing cloud-based data solutions using the Azure ecosystem .
- Hands-on expertise with Azure Databricks and Azure Data Factory (ADF) .
- Experience designing large-scale enterprise data architectures and high-volume data platforms.
- Strong knowledge of Kafka for event streaming and distributed data processing.
- Proven experience leading large-scale data migration projects.
- Hands-on experience with Data Lakes and NoSQL databases , including MongoDB .
- Strong understanding of Azure data services for storage, integration, and analytics.
- Exposure to AI-enabled data platforms and modernization initiatives.
Vacancy posted 1 day ago
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