Senior Data Engineer at Keyrus leading the design, development, and delivery of scalable data platforms. Collaborating with teams to translate requirements into production - grade solutions and mentoring engineers.
About the role
- Data Engineer I managing data engineering functions like modeling, profiling, and ETL using Azure and Databricks. Requires a degree and 2+ years of relevant experience to provide effective data solutions.
Responsibilities
- Provides a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage
- Performs moderately complex technical tasks independently
- Supports the acquisition and ingestion of data
- Elicits, analyzes, and understands business and data requirements to develop complete business solutions
- Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines
- Provides support to the development and testing teams to resolve data issues
Requirements
- Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
- 2+ years of relevant experience
- Databricks
- Azure
- Python
- PySpark
- ADF
- Data Products
- Banking domain experience strongly desired
Benefits
- Health and well-being benefits
- Savings and retirement programs
- Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
- Banking benefits and discounts
- Career development and reward and recognition programs
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