Urgent Req :- Data Engineer : Westerville, OH/ Phoenix, AZ (Locals only
HARRY JOHN
Hi,
My name is John and I am a Talent Acquisition expert with Adonia solutions. We are hiring an excellent resource to fulfil the requisitions of our Fortune 500 client. Please find the job details below and let me know if you feel comfortable proceeding.
harr...@adoniasolutions.com put cc to s...@adoniasolutions.com
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Job Title |
Data Engineer – Mid level |
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Location |
Westerville, OH/ Phoenix, AZ onsite (Locals Only) |
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Duration |
Long Term Contract |
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Rate |
$ 55/HR Max |
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Client |
Western Alliance Bank |
**** Locals Only - Onsite work - No remote ****
**** LinkedIn ID must, please submit resumes with LinkedIn ID *****
Required Skills: Data Engineering, SQL Server, Databrics.
Position Summary
This role is responsible for designing, developing, and maintaining scalable data solutions that power our Business Escrow Services. The successful candidate will leverage SQL to build robust data pipelines and analytics dashboards, ensuring the integrity and accessibility of financial data for specialized commercial banking distributions.
Key Responsibilities
Data Engineering & Pipeline Development
- SQL Solution Design: Design, develop, and maintain SQL-based data solutions to support complex escrow banking and operational systems.
- Pipeline Orchestration: Build and support scalable data pipelines and datasets using Databricks for efficient, high-volume data workflows.
- Query Optimization: Write, optimize, and manage complex SQL queries, stored procedures, and views to ensure high-performance data processing.
- Data Transformation: Implement sophisticated transformation logic to convert raw escrow transaction data into actionable business intelligence
- Design, develop, and maintain SQL-based data solutions to support banking and operational systems.
- Write, optimize, and manage SQL queries, stored procedures, and views for efficient data processing.
Technical Support & Troubleshooting
- Provide Level 2/3 support for data-related issues
- Investigate and resolve data quality issues, pipeline failures, and performance bottlenecks
- Collaborate with business users to understand and resolve data discrepancies
- Create and maintain comprehensive documentation for troubleshooting procedures
- Establish monitoring and alerting systems for proactive issue identification
Collaboration & Communication
- Work closely with data analysts, business intelligence developers, and business stakeholders
- Participate in agile development processes and sprint planning
DevOps & CI/CD Implementation (Nice to have)
- Design and implement CI/CD pipelines using Azure DevOps for data engineering projects
- Automate deployment processes for packages, Python scripts, and database objects
- Implement infrastructure as code practices for data platform components.
Professional Requirements
- Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
- Soft Skills: Strong analytical, problem-solving, and communication skills with the ability to work independently in a fast-paced environment
- 3–5 years of experience in data engineering with strong SQL expertise.