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Regions Bank · 11 hours ago

Temenos Data Migration Engineer [Birmingham, AL only]

Birmingham, AL

Full-time

Onsite

Mid, Senior Level

$110K/yr - $139K/yr

6+ years exp

Regions Bank is dedicated to providing a career-focused environment for individuals who are results-driven and dedicated to quality. The Data Migration Engineer will be responsible for designing, building, and maintaining data structures and systems, focusing on data migration to Temenos banking solutions while ensuring data quality and integrity.

BankingProperty & Casualty InsuranceInsurance

H1B Sponsor Likely

Responsibilities

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

Develop and implement comprehensive data migration strategies for the transition from legacy systems to Temenos T24 or other Temenos banking solutions

Collaborate with business stakeholders to define migration requirements, timelines, and scope

Define Mock conversion strategy and execution plan

Conduct data mapping between source and target systems, ensuring that data is correctly transformed for integration into Temenos

Create and maintain detailed documentation of data mappings and transformation logic

Extract data from various legacy systems, ensuring full and accurate extraction of financial, transactional, and customer data

Perform initial data cleansing to remove inconsistencies and improve data quality before migration

Conduct comprehensive testing and validation of migrated data to ensure it meets the agreed-upon requirements

Resolve any discrepancies in data and perform re-migrations if necessary

Coordinate with quality assurance teams to perform functional and system testing to ensure data integrity

Error log analysis and co-ordinate with development and business teams for defect/issue remediation

Utilize Temenos migration tools (e.g., Temenos Data Migration Toolkit, Temenos Work Bench, TEP, TPM) and other ETL (Extract, Transform, Load) tools to automate data extraction, transformation, and loading

Troubleshoot and optimize the migration process to ensure minimal downtime during cutover

Work closely with internal teams (business analysts, IT, project managers) and external vendors to ensure a smooth migration process

Provide regular updates and reports on the progress of data migration activities

Provide post-migration support to resolve any data-related issues and ensure ongoing system performance

Conduct training for end-users on how to handle migrated data in the new Temenos system

Qualification

Python/PySparkBig Data TechnologyData Migration StrategiesTemenos T24SQLHadoopData MappingETL ToolsAgile Software DevelopmentData QualityCommunication SkillsCollaborationProblem Solving

Required

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

Experience building data solutions at scale

Experience designing and building relational data structures in multiple environments

Experience with DevOps principals, CI/CD, and Software Development Lifecycle

Experience with No-SQL databases

Experience with large-scale data Lakehouses at Enterprise scale

Proven record of accomplishment of delivering operational Data solutions including Report and Model Ready Data Assets

Significant experience working with senior executives in the use of data, reporting and visualizations to support strategic and operational decision making

Strong ability to transform and integrate complex data from multiple sources into accessible, understandable, and usable data assets and frameworks

Strong background in synthesizing data and analytics in a large (Fortune 500), complex, and highly regulated environment

Strong technical background including database and business intelligence skills

Strong communication skills through written and oral presentations