USC or Green Card Only. Please no C2C inquiries.
Local Des Moines, IA applicants only, please
Seize the opportunity to shape the digital future as our premier clients Senior Data Engineer!
As the Senior Data Engineer, you'll spearhead the efforts to boost data authenticity and precision. Your realm of influence won't just stop there, as you'll also delve into the intricate world of architecture, creation, building, and examination of data warehouses and solutions, vital for extracting, transforming, and reporting data tailor-suited for use within predictive or prescriptive applications.
In this key role, you'll work with SQL Server, SSIS, Azure Data Factory, and PowerBI, while interacting with colleagues across verticals, optimizing data enterprise-wide.
This is a direct-hire, permanent position. Base salary 120,000-130,000, plus profit sharing, a flexible work week, bonus, and exceptional 401k match.
For immediate and confidential consideration, send a current resume to Kristen Lee on LinkedIn or apply directly to this posting today!
Daily Senior Data Engineer Responsibilities:
- Pioneering data architecture and modeling for efficient storage and data retrieval. Orchestrating the collection and secure storage of data from varied sources into one consolidated data warehouse.
- Crafting, molding, and implementing data pipelines for ETL using top-tier tools such as SSIS and Azure Data Factory.
- Supervising data performance, swiftly identifying and ironing out any kinks in the data pipeline.
- Operating in synergy with development teams, setting clear milestones to ensure adherence to set deadlines.
- Implementing rigorous data validation and cleansing processes to maintain superior data quality and precision.
- Harnessing optimization techniques to guarantee efficient running of data queries and reports.
- Reinforcing data security measures to protect sensitive data, ensuring access is granted only to authorized individuals.
- 5+ years' professional experience.
- Robust background in SQL Server and relational databases.
- Experience with SSIS, SSRS.
- Well versed in Azure Data Factory
- PowerBI reporting experience
