Incremental CRM - Data Developer 1

Barclays•Jefferson, CO

19h•Onsite

About The Position

The purpose of the role is to build and maintain systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes, to ensure that all data is accurate, accessible, and secure. This role involves building and maintaining data architectures and pipelines, designing and implementing data warehouses and data lakes, developing processing and analysis algorithms, and collaborating with data scientists to build and deploy machine learning models. The position is part of the Banking CRM team, focusing on onboarding Banking datapoints to the Enterprise Data Platform (EDP) S3 buckets and building a synthetic data layer for Banking business users' reporting and dashboards. The role requires involvement in multiple Banking projects, monitoring them end-to-end, and potentially bringing in new tools and technologies through proof-of-concept initiatives.

Requirements

Experience with AWS services: S3, Glue (Crawlers, ETL Jobs, Data Catalog), Redshift, DBTs, Athena and Iceberg
Experience with Data processing frameworks: Apache, Airflow
SQL Server to AWS migration experience
Experience with Databricks, SSIS, SQL, Python
Design and implement robust ETL/ELT pipelines using AWS Glue

Nice To Haves

Good experience and understanding of data modelling, ETL concepts, and data warehousing.
Some experience with Power BI and/or Tableau dashboarding tools
Exposure to Gen AI tools (GitLab Duo, Co-Pilot and/or Claude) to evaluate and generate code

Responsibilities

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
Development of processing and analysis algorithms fit for the intended data complexity and volumes.
Collaboration with data scientist to build and deploy machine learning models.
Advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
Lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments.
Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
Take ownership for managing risk and strengthening controls in relation to the work done.
Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
Communicate complex information.
Influence or convince stakeholders to achieve outcomes.
Onboarding Banking datapoints to the Enterprise Data Platform (EDP) S3 buckets.
Building the synthetic data layer for Banking business users' reporting and dashboards.
Deliver multiple Banking projects within agreed timelines while maintaining the highest standards of quality.
Monitor these projects end-to-end, ensuring that every aspect is meticulously executed.
Bring new tools and technologies in Banking world and run multiple proof-of-concept throughout the year to build most efficient platform for our end users.