Senior Engineer, IT
About The Position
Lead moderately complex projects from technical design through completion. Duties include: Act as an on-call SME resource to manage admin failure and messaging events; Test and execute pre-defined ETL processes on standard data sets; Assist the research, troubleshooting, and resolution of data issues impacting extract delivery.; Understand requirements regarding solutions, ensure data quality and match-back to core systems transaction results; Perform data validation, unit testing and troubleshooting for data model usability; Support data architecture development and optimizes data pipelines to store, integrate and process high-volume data sets; Perform code reviews for others in project; Collaborate with Data Scientists to ensure architectural and project specification needs are being met; Conduct necessary data transformations to populate data into a warehouse table structure that is optimized for reporting; Isolate and define core reusable data assets that support the long-term business strategy for development efforts; Review data analysis and data mapping logic; Identify recurring causes for defects and works proactively to resolve issues; Review fixes with MDM/ Data Governance teams; Identify methods for collecting data and perform data analyses; Communicate analytical findings, including through reports, briefings, presentations, and data visualization.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Electronics Engineering or related field and 72 months of experience in experience in the job offered or in a related occupation
- Python
- Azure Cloud Platform services for data processing such as Databricks or Data Factory
- CICD pipelines built on Azure DevOps
- Building Integration with SAP systems such as BODS or HANA
- SAP HANA data objects and underlying data models
- Data architectures involving Delta Lake, Lakehouse, data warehouse, and ODS
- Data modeling tools such as ER or Studio Data Architect
- PySpark and SQL for data processing, analysis and data engineering
- Kafka
- ETL Development using SSIS, Informatica
- Linux shell scripting and Powershell
- Master Data Management and Data Governance
- Data Visualization and Reporting
Responsibilities
- Act as an on-call SME resource to manage admin failure and messaging events
- Test and execute pre-defined ETL processes on standard data sets
- Assist the research, troubleshooting, and resolution of data issues impacting extract delivery
- Understand requirements regarding solutions, ensure data quality and match-back to core systems transaction results
- Perform data validation, unit testing and troubleshooting for data model usability
- Support data architecture development and optimizes data pipelines to store, integrate and process high-volume data sets
- Perform code reviews for others in project
- Collaborate with Data Scientists to ensure architectural and project specification needs are being met
- Conduct necessary data transformations to populate data into a warehouse table structure that is optimized for reporting
- Isolate and define core reusable data assets that support the long-term business strategy for development efforts
- Review data analysis and data mapping logic
- Identify recurring causes for defects and works proactively to resolve issues
- Review fixes with MDM/ Data Governance teams
- Identify methods for collecting data and perform data analyses
- Communicate analytical findings, including through reports, briefings, presentations, and data visualization
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What This Job Offers
Job Type
Full-time
Career Level
Senior
