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Sr Data Platform Engineer - Remote

New Jersey - Remote Worker New York - Remote Worker Texas - Remote Worker Arizona - Remote Worker Georgia - Remote Worker North Carolina - Remote Worker

Tech at MUFG

MUFG invests in talent, technologies, and tools that put our clients' and colleagues' changing needs first. We are looking for resilient technologists who are driven and inspired to participate on this high-impact team.

Backed by the strength and stability of the world’s 5th largest financial institution, you'll help build a bank you’ll be excited to call yours.

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  • Problem-solver
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  • Agile

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Hear from Stephenia R. IT Solutions Manager

Job Description

Sr Data Platform Engineer - Remote

  • Requisition # 10051020-WD
  • Job Type Full time
  • Date posted 02/25/2022

Your potential. Your opportunity.

Do you want your voice heard and your actions to count?

Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), the 5th largest financial group in the world. Across the globe, we’re 180,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.

With a vision to be the world’s most trusted financial group, it’s part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.

Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.

This is a remote position. A member of our recruitment team will discuss location preferences with you in more detail.

Job Summary:

In this role, you will be responsible for expanding and evolving the cloud based enterprise data platform. You will ensure the technology components of the platform are correctly configured and optimized to meet the functional, non-functional, and operational requirements. The ideal candidate will have experience moving and processing large volume of data across on premise and cloud environments in a secure manner. The Data Platform Engineer will support software developers, data architects, data analysts and business users to get the most value out of the platform with minimal friction. The candidate must be self-directed with ability to own and execute the platform improvement activities while collaborating with other team members and stakeholders. 

  • Study the current state implementation of the data lake, data warehouse, and data marts; recommend a future state and a path to migration that is least impactful to the business and the current production workloads.

  • Implement the best practices and design patterns for the data lake, enterprise data warehouse, and domain specific data marts. 

  • Enable data self-service through a published catalog of data. Implement fine grained entitlements and operational reporting of the entitlements to ensure data is only accessed by the right person with the right role on a need to know basis.

  • Help implement encryption, obfuscation and other security best practices to meet all organizational data security policies and guidelines.

  • Design, build, automate data pipeline, testing systems, event monitoring and notification systems, that implement key aspects of the full data pipeline lifecycle, including acquisition, transformation, management, export, and analytics

  • Triage problems across the data platform to help address development, test, and production issues.

Qualifications:

  • Undergraduate degree in computer science, engineering, or a related discipline preferred

  • 8-10 years of experience in building and maintaining data platforms, ETL processes and connected sources and targets required

  • 8-10 years of experience in architecture, designing and operationalizing data lakes, data warehouses and data marts,  data layering, data virtualization/physicalization, data normalization/denormalization, data storage and movement patterns, data supply chains, and data catalogs

  • 5-7 years of hands on experience in deploying and running data pipelines on Amazon Web Services (AWS) required

  • 5-7 years of experience with reference data management, metadata management, party data management, and source and target management.

  • 5-7 years of experience generating extracts from the data warehouse for downstream systems, putting data securely in the hands of the business, and configuring and optimizing fine grained entitlements (role based and attribute based security).

  • 3-5 years of performance measurement and tuning experience preferred

  • Experience in the financial services or banking industry required

  • Experience implementing enterprise systems with security best practices and site reliability engineering principles.

  • Proficient in Structured Query Language (SQL)

  • Deep understanding of the design and development considerations around data partitioning, job scheduling, data versioning, data import/export, archival, and schema management

  • Strong understanding of data read and write performance and impact of data storage and movement patterns on the performance

  • Strong foundation in the following AWS Cloud Services: S3, CloudWatch, EMR (Hive), Glue and Glue catalog, Redshift Spectrum, EC2, StepFunctions

  • Experience creating data warehouses that process large volume of data in a specific time window.

  • Experience merging, separating, and sunsetting data warehouses.

  • Experience in developing and automating data pipeline and deployment in ETL tools, SQL, Python, Spark, or related framework.

  • Experience supporting non-production data environments to support testing of various functional and non-functional usages and requirements.

  • Must have system design thinking, ability to plan and author technical documents. Require problem solving, and prioritization skills. Need ability to articulate new ideas and explain them to all level in the organization.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities duties and skills required of personnel so classified.

We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual’s associates or relatives that is protected under applicable federal, state, or local law. 

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  • Health Plans

    Numerous choices for medical coverage (HRA, HSA, and PPO), plus comprehensive prescription coverage, dental and vision. We pay most premium costs and contribute to your HSA or HRA annually.

  • Wellness

    Monthly financial and wellness webinars, on-site healthy living events and one-on-one personal coaching sessions.

  • 401(k)/Retirement Plans

    Competitive 401(k) employer match contributions with immediate vesting. Cash balance pension, defined benefit plan with 3-year vesting, fully employer-paid.

  • Education & Training

    Tuition reimbursement for most undergraduate, graduate, and job-related courses at regionally accredited institutions. Internal training programs/courses are also available.

  • Family-Friendly Care

    Programs and resources to support family wellness, including: maternity/paternity leave, parental bonding, adoption assistance program, dependent care and family medical leave.

  • Paid Time Off

    Vacation, sick leave, time off to volunteer, and federal holidays, as well as salary continuation during periods of qualifying disability.

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