Principal Data Engineer

Citizens Financial Group, Inc.•Pittsburgh, PA

25d•Hybrid

About The Position

At Citizens we're more than a bank and here you'll experience new things, create new opportunities, think beyond your role and make an impact! While in this role you will serve as a key contributor and leader in the space of technological innovation. Furthermore, you will combine their technical expertise and strong leadership skills to spearhead a results driven engineering operation. Additionally, you will be given the autonomy to lead, design and develop innovative solutions to some of the biggest technical issues facing the banking industry. Lastly, while in this role, you will serve as a peer leader tasked with pursuing cutting edge initiatives and solutions and the dynamic workload that will encompass both attribute enhancements and cutting - edge innovations. Most importantly, you'll feel valued for who you are and supported to achieve what's important to you, personally and professionally!

Requirements

Bachelor's Degree in Computer Science, statistics or related field discipline
8+ years of working experience in data engineering; experience managing engineers and/or technical personnel
Experience handling big data, building big data solutions using cloud platforms, streaming and API based solutions
Experience in Hadoop ecosystem (HDFS, Hive, PIG, Hbase, Hiveql, etc.)
Experience with ETL/ELT tools i.e. DataStage, Informatica, Sqoop, building/enhancing Inhouse ETL frameworks, etc.
Experience with the following technologies:
Relational and Cloud Databases (Oracle, MS-SQL, Snowflake, Amazon RedShift, Postgres, etc.)
Python, Java, Spark, Scala, Shell scripting, SQL, PL/SQL, etc.
SCM tools such as Bitbucket with Jira, Starteam or SVN
AWS native series such as S3, RDS, Glu, Athena, Airflow etc.

Nice To Haves

Master's Degree in Computer Science, statistics or related field discipline
Big Data Tech/AWS/Agile Certifications
Experience working in the financial services industry; understanding of the role of consumer and commercial banking
Experience working with machine learning technologies and/or AI
Experience with Tableau, Cognos or SAS

Responsibilities

Serve as a key contributor to the development of data ; collaborate with stakeholders to determine solution requirements.
Actively participate in/Lead design sessions and, where applicable, apply industry best practices.
Collaborate with technical colleagues, such as Architecture & Engineering colleagues and software engineers, to determine and translate user requirements into actionable data delivery
Produce data patterns, solution design documents and create Architecture as Code in alignment with business objectives.
Develop mechanisms, applications and processes that continuously harvest big data i.e. systems architectures, programming, database design, database configuration, interface configuration, sensor configuration, etc.
Create comparative analyses of data stores and information flow within the organization; identify areas of friction, lag or compromised data integrity.
Review and manage the user interfaces of data flow mechanisms.
Produce data models in alignment with business objectives.
Perform Proof of Concepts (POCs) on new use cases, emerging technologies, and innovative data solutions.
Mentor and upskill engineering talent, fostering best practices and technical excellence across the team.
Demonstrate strong experience with integrations involved in data applications in cloud, ensuring seamless connectivity across platforms and services.
Drive adoption of modern data architectures and integrations across applications

Benefits

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume