Manager Data Engineering
Company: loanDepot
Location: Plano
Posted on: April 8, 2021
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Job Description:
We are at the forefront of change in this rapidly evolving
lending market. mello, the Greek word for future, was the product
of a recent $80+ million dollar investment in research &
development to transform & streamline the home buying process into
a digital experience like no other competitor offers. But mello is
just the beginning loanDepot will continue to invest in developing
our own advanced technology ecosystem built around serving our
customers & enabling our valued employees to provide exceptional
service. We have funding, we have opportunities, you have ideasits
a perfect match. Come join us!loanDepot We are Americas
Lender.Position Summary:The Manager, Data Engineering will be a key
role to take loanDepot data estate to the next generation. At
loanDepot, we are leading the journey to a data driven
organization. We are developing cloud based data platforms that
enable fast decision making and analytical capabilities using AI /
ML. Responsible for designing and executing data distribution
frameworks, data streaming, vendor evaluation, cloud warehouse
evaluation, and developing data and report catalog. This position
ensures the performance of all duties in accordance with the
companys policies and procedures, all U.S. state and federal laws
and regulations, wherein the company operates.Responsibilities: *
Manage and Develop data engineering framework with cloud native
approach.* Work closely with Scrum Master to ensure organizational
Agile/Scrum methodology is followed.* Collaborate with stake
holders, understand requirements, and manage data engineers to
deliver as per release schedule.* Quickly understand the current
landscape of data and provide recommendations on building the
future data products.* Provide implementation recommendations and
tradeoffs and present that to senior leadership.* Evaluate vendor
technologies, participates in rapid prototyping and POC efforts.*
Adhere to data protection requirements including data access,
retention, residency, and de-identification.* Develop and maintain
data flow and data sharing with internal and external systems.*
Create data validation checks and scripts to ensure high data
quality and availability.* Design and develop secure software in
partnership with other engineering teams onshore and offshore.*
Keep a pulse on the industry, and research, evaluate and recommend
new technologies, tools and frameworks for high volume data
processing.* Provide technical guidance and coaching to other team
members* Code!Requirements:* Must have experience with development,
configuration, and deployment on Azure Cloud technologies.*
Experience deploying (DaaS) Data as a service.* Experience with
DevOps concepts, scripting.* Hands on experience building data
engineering solutions using Microsoft Azure stack, including Azure
Synapse Analytics, SQL Server, ADLS, Azure Synapse Studio, Azure
Data Factory, Azure Event Hub, Azure Databricks, and Power BI.*
Data Management/Streaming or relevant experience in a high
transaction volume environment.* 2-5 years of experience with any
enterprise programming language (C#, C++, Scala, Python or Java).*
Experience with any of the reporting tools like Power BI, Tableau,
SSRS.* Experience with NoSQL Databases.* SQL Savvy - must have
strong SQL experience.* S. in Computer Science or B.S. Software
Engineering or B.A. in Computer Information Systems or equivalent
education or experience.* Minimum five + plus years of relevant
technology job experience.* Experience in the Mortgage industry
preferred.* Experience with AI/ML concepts, tools and frameworks
preferred.The Perks:* Competitive compensation reliant on ability &
experience* Excellent benefits package including multiple health,
dental & vision options* Company paid life and AD&D Insurance,
as well as additional voluntary benefit possibilities* 401K with
robust company match* 15+ PTO days, in addition to 8 paid company
holidays* The opportunity to work for Americas Lender under the
vision of industry legend, Anthony HsiehWe are an equal opportunity
employer and value diversity in our company. We do not discriminate
on the basis of race, religion, color, national origin, gender,
sexual orientation, age, marital status, veteran status, or
disability status.#LI-SS PM17PI
Keywords: loanDepot, Plano , Manager Data Engineering, Engineering , Plano, Texas
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