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Principal Data EngineerSalary Range
- This would be a direct hire position and they would need to be in the DFW area for the Fort Worth Home Office. They would also need to be willing to be vaccinated or testing may be required.
- The hiring manager is interested in the following details.
- • Do you have any experience with Lean Six Sigma, SCRUM or similar?
- • Do you have any experience with Azure Data Lake Services, Azure Data Bricks and Azure Data Factory?
- Collaborate with business stakeholders to develop an understanding of their business requirements and operational processes
- Lead the Implementation and act on the recommendations, outcomes and designs from Data Governance and Enterprise Architecture
- Develop ETL automation and integration capabilities to implement the data lifecycle, considering how data is created, transformed, stored, archived, analyzed and shared in the organization
- Provide mentorship to team members and citizen data developers
- Contribute to process for making data architecture decisions
- Complete data exploration and profiling by leveraging data analysis, design and presentation tools
- Lead the design, development, and maintenance of ongoing automation, integration, services, etc. to provide the right data to the right place at the right time
- Develop and implement automated solutions to optimize efficiency and quality of our enterprise data and business processes
- Partner with Information Technology and business unit groups to develop and implement comprehensive automation and business critical data which will be leveraged for solutions that provide consistent, clean and integrated data which enables business intelligence
- Implement methods to include unstructured and big data, such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
- BS preferred; MBA or MS or equivalent a plus.
- 9+ years of applied experience in data integration, ETL, and data management, or comparable positions that handle large/complex data sets, developing automation, and fostering business partner relationships with the most recent 3-5 years in cloud data engineering
- Expert in all varieties of SQL with emphasis on T-SQL, PL/SQL, Spark SQL
- Expert in ETL tools such as SSIS, Azure Data Factory, Data Bricks, Python/PySpark
- Excellent written communication and presentation skills
- Ability to quickly adapt to changing priorities and generating innovative solutions
- Expert in transforming manual processes to industry standards and automation
- Proficient in understanding of data mapping and lineage strategies
- Proficient in understanding in conceptual, logical and physical data design
- Proficient in understanding of data management practices, data architecture principles, and data governance process
- Certifications within Azure (Azure Fundamentals, Azure Data Engineer)
- Familiarity with data science and analytics tools such as SPSS, SAS, Tableau, PowerBI
- Familiarity with object-oriented programming and the software development process
- Financial services industry experience or other highly regulated industry experience
- Certifications related to Data Integration
- Additional Cloud Data certifications (DataBricks, Delta Lake, Spark)
- Experience and Certifications within Salesforce
- Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
- Familiarity with analytics solutions and data science capabilities