• New York, New York
    11 days ago

    Job Description

    Agency:

    Hearts & Science

    Job Function:

    Data and Analytics

    Job Subfunction:

    Data Science and Analytics



    Job Description:

    Role Overview

    This role will be reporting to the Senior Director, Data Engineering and be part of Data Engineering Team who build, enhance and optimize ETL (Extract, Transform, Load) jobs, implement automated data warehouse solutions, conduct QA and manage day-to-day tasks. The candidate must have data warehouse, data pipeline design/development, SQL, AWS Cloud and Big Data Technologies experience. As a Data Engineer, you will have the opportunity to contribute to end-to-end platform design for our cloud architecture and work multi-functionally with our Analytics, Data Science, IT and Investment teams to build batch and real-time data solutions. This is a very hands-on position, requiring extensive experience developing workflows in Python, willingness to dive into legacy code repositories and maintain complex data transformation processes on AWS cloud. Good decision-making, time management, prioritization and escalation skills are traits needed to ensure continued success in this role.

    Key Responsibilities:
    Contribute to the growth of the enterprise data warehouse (EDW) by working alongside stakeholders to produce accurate information within database objects used in reporting, strategic planning and decision making
    Assist the Senior Director in developing long-term strategies and capacity planning for meeting future data warehouse and data automation needs
    Meet with end-users and data SMEs to clarify requirements and business rules needed to design, develop and implement ETL/ELT processes
    Collaborate with peer Data Engineers to build upon and support our CI/CD pipelines hosted within our extensive GIT repository
    Mentor our emerging Data Analysts, including providing feedback and suggestions for their planned workflows prior to deployment into production
    Respond, investigate and correct reported data inaccuracies within the EDW compared to source and business-expected results
    Establish relationships with external and internal POCs to ensure seamless inbound and outbound Data Delivery expectations are met
    Implement and support backend maintenance processes that enforce ongoing data optimization and corporate retention policies while ensuring the historical data needs of the client are met
    Document and maintain all the processes and procedures pertaining to ETL and data warehouse usage/development, contributing to the team knowledgebase when applicable

    Qualifications

    Education & Technical Experience Requirements
    Bachelor’s in Computer Science or similar technical degree within a STEM field
    3+ years of hands-on experience in building data pipelines using traditional ETL tech stack, platform APIs and big data technologies
    3+ years of experience in programming languages including as Python and working within a Linux based environment
    Experience designing, deploying and supporting production cloud services in AWS ecosystem including EC2, S3 and Redshift
    Can speak to concepts and designs/benets to multiple audiences as well as interpret high level business requirements from conversation
    Able to work within a cross-functional team environment with people from multiple business units, vendors, countries, and cultures
    Working experience within the advertising/media industry with knowledge of basic media math
    Experience in Social Media Datasets such as Twitter, Facebook, Instagram is a plus
    Experience in Google Campaign Manager, Xandr, or Adobe Analytics datasets is a plus
    Experience with Google Cloud products is a plus
    Experience with Microsoft PowerAutomate is a plus
    Experience using Project Management tools such as Jira is a plus
    Experience creating data visualizations and using tools such as Tableau is a plus New York: $50,000.00-$95,000.00

    Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.


    Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.


    Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice


    For US Job Seekers:


    It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.

    Numbers & Facts

    LocationNew York, New York

    Skills

    • Adobe Product Familyunmatched
    • Advertisingunmatched
    • Amazon Elastic Compute Cloud (EC2)unmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Amazon Web Services (AWS)unmatched
    • Application Programming Interface (API)unmatched
    • Architectural Designunmatched
    • Atlassian JIRAunmatched
    • Automationunmatched
    • Big Dataunmatched
    • Campaignsunmatched
    • Capacity Managementunmatched
    • Cloud Architectureunmatched
    • Cloud Computingunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Corporate Policiesunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Processingunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Data Visualization Toolsunmatched
    • Data Warehousingunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Ecosystemsunmatched
    • Entertainment and Mediaunmatched
    • Establish Prioritiesunmatched
    • Facebookunmatched
    • Gitunmatched
    • Investigative Reportsunmatched
    • Knowledge Baseunmatched
    • Linux Operating Systemunmatched
    • Mathematicsunmatched
    • Mentoringunmatched
    • Microsoft Product Familyunmatched
    • Plan Meetingsunmatched
    • Production Supportunmatched
    • Programming Languagesunmatched
    • Project Management Softwareunmatched
    • Public/Media/Press/Analyst Relationsunmatched
    • Python Programming/Scripting Languageunmatched
    • Quality Assuranceunmatched
    • SQL (Structured Query Language)unmatched
    • Social Mediaunmatched
    • Staff Policiesunmatched
    • Strategic Planningunmatched
    • Tableauunmatched
    • Talent Managementunmatched
    • Time Managementunmatched
    • Twitterunmatched

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