Lead Data Engineer responsible for designing, building, and maintaining secure, scalable data collection, storage, access, and analytics solutions. Ensure data trustworthiness, create data models, implement backup/recovery/archiving, evaluate access control, and support data platform stability across business functions.
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
As a Lead Data Engineer at JPMorganChase within the [insert LOB or sub LOB], you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Ensures consumers are able to have a high level of trust in the analysis they produce based on the data our product line emits.
- Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
- Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
- Implements database back-up, recovery, and archiving strategy
- Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Working knowledge of Infrastructure Platforms and Enterprise Server Operating Systems
- Working experience with both relational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up, recovery, and archiving strategy
Preferred qualifications, capabilities, and skills
- Proven experience working in SRE or Infrastructure Deployment roles,
- Mid level data pipeline or analytical product creation
- Proven Data Quality issue root cause analysis
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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