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TK Elevator
Atlanta, GA, United States
The first 3 letters in workplace safety are Y-O-U! TK Elevator is currently seeking an experienced Data & Analytics Product Manager located in Atlanta, GA. This role is pivotal in leading the development of holistic 360-degree analytic products, leveraging. You will work closely with a team of Data Engineers and Data Analysts to create impact
Job Source: TK ElevatorMETA
Atlanta, GA, United States
Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help
Job Source: METAQuest Global
Atlanta, GA, United States
About Quest Global Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger
Job Source: Quest GlobalRELX INC
Atlanta, GA, United States
Are you keen to develop your Product Management career? Are you passionate about advancing the mission of colleges and universities? Would you enjoy working on our cutting-edge products? About our Team With innovative products designed to support the entire faculty lifecycle, Interfolio from Elsevier enables academic leaders to effectively advance
Job Source: RELX INCMETA
Atlanta, GA, United States
Summary: As a Monetization focused Data Scientist at Meta, you will have the opportunity to help people and businesses make meaningful connections and build premium services across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs). By applying your technical skills, analytical mindset, and product intuition
Job Source: METAHome Depot
Atlanta, GA, United States
The application window is anticipated to be closed on May 21, 2024. Position Purpose: The Principal Data Engineer - Analytics is responsible for contributing to the data strategy, design, discovery, development, and overall data product lifecycle that our users love. The data engineering process is highly collaborative. In addition to pairing, Pr
Job Source: Home DepotAtlanta, GA, United States
The application window will be open until at least 29 January, 2024. This opportunity will remain online based on business needs which may be before or after the specified date. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Boulder, CO, USA; Atlanta, GA, USA . Minimum q
Job Source: GoogleFanDuel
Atlanta, GA, United States
ABOUT FANDUEL GROUP FanDuel Group is an innovative sports-tech entertainment company that is changing the way consumers engage with their favorite sports, teams, and leagues. The premier gaming destination in the United States, FanDuel Group consists of a portfolio of leading brands across gaming, sports betting, daily fantasy sports, advance-depo
Job Source: FanDuelAtlanta, GA, United States
Summary:
As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.
Required Skills:
Data Engineer, Product Analytics Responsibilities:
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way.
Define and manage SLA for all data sets in allocated areas of ownership.
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
Influence product and cross-functional teams to identify data opportunities to drive impact.
Mentor team members by giving/receiving actionable feedback.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
5+ years experience in the data warehouse space.
5+ years experience in custom ETL design, implementation and maintenance.
5+ years experience with object-oriented programming languages.
7+ years experience with schema design and dimensional data modeling.
7+ years experience in writing SQL statements.
Experience analyzing data to identify gaps and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications:
Preferred Qualifications:
Master's or Ph.D degree in a STEM field
Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
Experience working with terabyte to petabyte scale data
Experience influencing product decisions with data.
Public Compensation:
$173,000/year to $242,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
Email Alert for Data Engineer, Product Analytics jobs in Atlanta, GA, United States
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