Partners with Regions Technology partners to Design, Build, and Maintain the data-based structures and systems in support of Data and Analytics and Data Product use cases
Builds data pipelines to collect and arrange data and manage data storage in Regions’ big data environment
Builds robust, testable programs for moving, transforming, and loading data using big data tools such as Spark
Coordinates design and development with Data Products Partners, Data Scientists, Data Management, Data Modelers, and other Technical partners to construct strategic and tactical data stores
Ensures data is prepared, arranged and ready for each defined business use case
Designs and deploys frameworks and micro services to serve data assets to data consumers
Collaborates and aligns with technical and non-technical stakeholders to translate customer needs into Data Design requirements, and work to deliver world-class visualizations, data stories while ensuring data quality and integrity
Provides consultation to all areas of the organization that plan to use data to make decisions
Supports any team members in the development of such information delivery and aid in the automation of data products
Acts as trusted adviser and partner to business leads- assisting in the identification of business needs & data opportunities, understanding key drivers of performance, interpreting business case data drivers, turning data into business value, and participating in the guidance of the overall data and analytics strategy

Requirements

Bachelor's degree and six (6) years of experience in a quantitative/analytical/STEM field or technical related field
Or Master’s degree and four (4) years of experience in a quantitative/analytical/STEM field or technical related field
Or Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field
Three (3) years of working programming experience in Python/PySpark, Scala, SQL
Three (3) years of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka
Background in Big Data Engineering and Advanced Data Analytics
Experience developing solutions for the financial services industry
Experience in Agile Software Development
Experience or exposure to cloud technologies and migrations
Prior banking or financial services experience

Benefits

Paid Vacation/Sick Time
401K with Company Match
Medical, Dental and Vision Benefits
Disability Benefits
Health Savings Account
Flexible Spending Account
Life Insurance
Parental Leave
Employee Assistance Program
Associate Volunteer Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonPySparkScalaSQLHadoopHiveImpalaSparkKafkaBig Data Engineering

Soft Skills

collaborationcommunicationconsultationproblem-solvingstakeholder engagementdata storytellingdata quality assurancebusiness acumenstrategic thinkingadvisory skills