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About this role:
Wells Fargo is seeking a Lead Big Data Engineer.
In this role, you will:
Lead complex initiatives with broad impact and act as key participant in large scale software planning for the Technology area.
Design, develop, and run tooling to discover problems in data and applications and report the issues to engineering and product leadership.
Review and analyze complex software enhancement initiatives for business, operational or technical improvements that require in depth evaluation of multiple factors including intangibles or unprecedented factors.
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change.
Strategically collaborate and consult with internal partners to resolve highly risky data engineering challenges.
This role is required for Design and lead the Collections dataspace technical team. Lead engineer is for building and maintaining metadata drive-in pipelines for ingesting, transforming, and mastering content metadata with the goal of providing clean and accurate metadata for various use-cases to support business objectives throughout the collection's organization.
The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines using Spark, Kafka, Hive to ensure the reliable delivery of data to our stakeholders.
This role is important in ensuring the quality and expediency of our reporting in regards to content KPIs.
Responsibilities:
Lead the successful design and development of our Data Products and Operational Datastore around Collections Technology.
Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
Designing, building data pipelines, data migration experience is needed.
Performance tuning of Spark jobs, Java Memory tuning
Support data pipelines within SQL Server, Azure and Hadoop.
Help architect data solutions/frameworks around operational data store.
Collaborate with Product Managers, POs, Architects and Principle Engineers to design, implement, and deliver successful data solutions.
Maintain detailed documentation of your work and changes to support data quality and data governance.
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers.
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.
Required Qualifications:
10 years of in-depth experience developing applications Domain driven approach
10 years of Familiarity with Data Modeling techniques and ODS standard methodologies and practices
5 years of experience in system migrations (application and data migration)
10 years of experience with scripting, including Python and Bash
5 years of experience in familiarity with Scrum and Agile methodologies
Desired Qualifications:
You are a problem solver with strong attention to detail and excellent analytical and communication skills
Salary Range: $115,900 to $206,100
Posting End Date:
29 Mar 2024*Job posting may come down early due to volume of applicants.
We Value Diversity
At Wells Fargo, we believe in diversity, equity and inclusion in the workplace; accordingly, we welcome applications for employment from all qualified candidates, regardless of race, color, gender, national origin, religion, age, sexual orientation, gender identity, gender expression, genetic information, individuals with disabilities, pregnancy, marital status, status as a protected veteran or any other status protected by applicable law.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in US: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Full Time
Banking
$186k-228k (estimate)
03/27/2024
05/26/2024
wellsfargo.com
LITCHFIELD, MN
>50,000
1852
Public
SUSAN LEISHER
>$50B
Banking
Wells Fargo is a provider of personal and commercial financial services including banking, mortgage, investment, credit card and insurance.
The job skills required for Lead Big Data Engineer include Python, Agile, Java, Planning, Big Data, Data Engineering, etc. Having related job skills and expertise will give you an advantage when applying to be a Lead Big Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Lead Big Data Engineer. Select any job title you are interested in and start to search job requirements.