Senior Data Systems Engineer - HR

Senior Data Systems Engineer - HR

16 Jan 2024
Michigan, Detroit metro, 48201 Detroit metro USA

Senior Data Systems Engineer - HR

Vacancy expired!

Senior Data Systems Engineer - HR in Detroit, Michigan
Posted 11/01/21

THE TEAM YOU WILL BE JOINING:
  • Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
  • Named one of the top three fastest-growing banking brands in the U.S. in 2020.
  • Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.


WHAT THEY OFFER YOU:
  • Fast paced, highly collaborative, teamwork-oriented environment
  • Make an immediate impact in this high visibility role
  • Base salary of $100-130k + 7% bonus and excellent benefits package
  • Top-notch leadership committed to developing people


LOCATION
  • Charlotte, NC - 100% remote for now, then will sit on-site in Charlotte, NC when staff transitions back into the office after October


WHAT YOU WILL DO

The Data Systems Engineer will be an active member of the data strategy / interface team on the HR Technology Transformation Program, working with a System Integrator, Data Architects, and data experts. The scope of this role includes data conversion, historical data migrations, data cleansing, quality checks, ETL processing, etc. The ideal candidate will be able to work with a Cloud-based HCM solution and partner with the Enterprise Data Architecture team to identify, transform, load, and present critical HR data for analytics /reporting via a data lake.
  • Proactively become an expert in current and future HR business processes / technology products
  • Execute on the HCM data and integration strategy?
  • Serve as a knowledge source for converting data from legacy systems into the new HCM system
  • Provide creative technology solutions utilizing sound investigative / troubleshooting skills and analysis
  • Convert Data into the HCM with applicable loading tools
  • Create ETL scripts to transform and load data in preparation to load to the HCM
  • Lead in the validation of data loaded into the HCM
  • Map legacy data, identify data quality issues
  • Execute reporting & analytics using BI tools with a sound understanding of metrics / data being analyzed
  • Execute data management / design, interface development / monitoring; knowledge of and experience with various database concepts and technologies, such as Oracle, SQL Server and reporting tools
  • Maintain working knowledge and documentation of system / technical integration (batch, real-time); knowledge of SFTP, PGP encryption, ssh; knowledge of web-service calls using SOAP, REST, xml, json.
  • Provide data experience in end-to-end design and development of near-real time and batch data pipelines
  • Understand data lake and data warehouse solutions on Snowflake and AWS using streaming and batch processes
  • Develop test strategies, software testing frameworks, and test automation. Performs unit and systems integration testing as defined in the Program Data Strategy plan
  • Leverage DevSecOps techniques and have working experience with modern tools such as GitLab, Jira, Jenkins and build automation
  • Engage in application design and potentially data modeling discussions; participate in developing and enforcing data security policies
  • Communicate project status and collaborate with a System Integrator to successfully deliver on shared objectives?and meet program deadlines
  • Closely?follow the strategic direction?set by leadership when establishing project goals
  • Timely identification and escalation of risks and development of alternative technical and functional approaches when necessary
  • Thought leadership to identify process improvements and changes based on project experience

Embrace Agile principles and perform work in an Agile / Kanban team structure

HOW YOU ARE QUALIFIED:
  • A Bachelor's degree or equivalent combination of education and experience
  • Minimum 3 years' experience in field of data engineering involving data conversion and building data integration solutions or data warehouse environments such as AWS, Snowflake, Oracle, etc.
  • Previous experience handling HR data or HR System software (such as Workday or SAP SuccessFactors)
  • Extensive knowledge and experience in data transformations, cleansing, de-duplication, data analysis, manipulation, reporting and formatting
  • Expert knowledge of tuning SQL queries, ETL process for optimal performance
  • Hands on experience building data flows using DevOps pipelines and automation
  • Excellent leadership skills and ability to manage multiple tasks under tight deadlines
  • Ability to work independently and meet deadlines
  • Advanced proficiency in MS Office software
  • Strong written and verbal communication skills, including demonstrated facilitation skills
  • Proven delivery capabilities
  • Commitment to quality, innovation, and a desire to improve
  • Demonstrated discretion and ability to work with confidential information
  • Strong problem solving, analytical, critical thinking and change management skills
  • High tolerance for ambiguity, challenge, and change
  • Excellent organization skills. Must be detailed oriented, able to design and implement detailed processes for technical activities
  • Broad business and technology experience and a good awareness of industry trends and their potential impact on product
  • Have a proven track record of customer satisfaction and delivery success and ability to establish and maintain appropriate relationships with business and IT stakeholders
  • Experience in all aspects of the software development life cycle
  • Experience using modern ETL tools such as InfoSphere DataStage Cloud Pack, Apache NiFi, etc
  • Deep working knowledge of RDBMS, SQL and ETL skills
  • Experience leveraging data pipelines for both Cloud and Hybrid Cloud infrastructures
  • Promote and enforce design and development standards and best practices

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