Principal Data Engineer- Enterprise Data Enablement

Overview

On Site
Full Time

Skills

Mentorship
Finance
Software Architecture
Technical Drafting
Cross-functional Team
Database Design
Data Modeling
Analytics
Reporting
Machine Learning (ML)
Use Cases
Unit Testing
Acceptance Testing
Change Management
Regulatory Compliance
Streaming
Apache Spark
Apache Flink
Messaging
Apache Kafka
Microservices
Programming Languages
Scala
SQL
Amazon Redshift
PostgreSQL
Snow Flake Schema
NoSQL
MongoDB
Database
Continuous Integration and Development
Version Control
Bitbucket
Git
Extract
Transform
Load
Talend
IBM InfoSphere DataStage
Java
Spring Framework
React.js
TypeScript
AngularJS
UI
Cloud Computing
Data Processing
Amazon Web Services
Microsoft Azure
Computer Science
Military
Decision-making
Brand
Privacy
Legal

Job Details

Job Description

The Enterprise Data Enablement is looking for a Principal Data Engineer who can drive design, development, and maintenance of secure, Scalable and efficient data pipelines and platforms. The Principal Data Engineer will build and deploy data solutions for various financial consumer business domains by creating new/leveraging existing data framework capabilities to acquire, transform, stream and integrate data. This colleague will drive innovative date engineering solutions and ability to lead and mentor team of data engineers.

Primary responsibilities include:
  • Architect, build, and maintain reliable, efficient and scalable data pipelines to acquire, transform, and store large datasets.
  • Building robust data pipelines to collect process and compute different metrics from various financial sources, adhering to quality and development standards.
  • Designing application architecture / technical design and articulating the data frameworks to team members and data engineers.
  • Collaborating with cross functional team members as necessary and coming up with optimal solutions that meet data demands.
  • Deploy high performing, quality/bug-free code in production.
  • Should have strong understanding of database design principles, data modeling techniques ad the ability to translate business requirements into scalable data solutions.
  • Develop and optimize data models to support analytics, reporting and machine learning use cases.
  • Drive technical requirements of Data Frameworks and build solutions to meet them.
  • Identify opportunities to expand the frameworks as well as create new frameworks that can be built once and re-used across multiple use cases.
  • Troubleshoot and resolve any data related issues in a timely manner.
  • Executing unit test of data populated in target data container, validating expected result and ensuring quality and accuracy. Coordinating with business users for User Acceptance Testing and with Operations team for code deployment to upper environments.
  • Following change management team stipulations on path to production requirements and strictly adhering to the compliance and regulatory needs.

Required Skills/Experience:
  • At-least of 8-10 years of experience in the technologies listed below.
  • Working experience with streaming capabilities such as Apache Spark, Beam, Flink
  • Working experience with message brokers/messaging platforms such as Apache Kafka
  • Proven track record of working with microservices and batch sources
  • Hands-on in a programming languages Java and/or Scala
  • Excellent skills in SQL Development
  • Strong Knowledge of relational(Redshift, Postgres, SnowFlake) NoSQL(MongoDB) databases.
  • Experience in CICD pipelines and version control systems like Bitbucket, Git.
  • Working experience with ETL Development tools like Talend, Data Stage would be a plus
  • Working experience with Java Spring boot, React, Typescript, Angular for UI would be a plus
  • Deep understanding of Cloud offerings for Data processing (AWS would be a plus)
  • Experience with AWS, Azure with data-focused services.

Education, Certifications, and/or Other Professional Credentials:
  • BS/Engineering in Computer Science or any technology related degree

Hours and Work Schedule

Hours per Week: 40

Work Schedule: Monday through Friday

About Us

Equal Employment Opportunity

At Citizens, we are committed to fostering an inclusive culture that enables colleagues to bring their best selves to work every day. Employment decisions are based solely on experience, performance, and ability. Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family statparenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.

Equal Employment and Opportunity Employer

Citizens is a brand name of Citizens Bank, N.A. and each of its respective affiliates.

Job Applicant Data Privacy Policy

Background Check

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