Manager Data Engineering
Company: Publicis Groupe
Location: New York
Posted on: May 16, 2022
Job Description:
Company DescriptionPublicis Sapient is a digital transformation
partner helping established organizations get to their future,
digitally-enabled state, both in the way they work and the way they
serve their customers. We help unlock value through a start-up
mindset and modern methods, fusing strategy, consulting and
customer experience with agile engineering and problem-solving
creativity. United by our core values and our purpose of helping
people thrive in the brave pursuit of next, our 20,000+ people in
53 offices around the world combine experience across technology,
data sciences, consulting and customer obsession to accelerate our
clients' businesses through designing the products and services
their customers truly value.Job DescriptionPublicis Sapient is
looking for a Data Engineering Manager to join our team of bright
thinkers and doers. You will team with top-notch technologists to
enable real business outcomes for our enterprise clients by
translating their needs into transformative solutions that provide
valuable insight. Working with the latest data technologies in the
industry, you will be instrumental in helping the world's most
established brands evolve for a more digital futureYour Impact:
- Play a key role in delivering data-driven interactive
experiences to our clients -
- Work closely with our clients in understanding their needs and
translating them to technology solutions
- Provide expertise as a technical resource to solve complex
business issues that translate into data integration and database
systems designs
- Problem solving to resolve issues and remove barriers
throughout the lifecycle of client engagements
- Ensuring all deliverables are high quality by setting
development standards, adhering to the standards and participating
in code reviews
- Participate in integrated validation and analysis sessions of
components and subsystems on production servers
- Mentor, support and manage team membersQualificationsYour
Skills & Experience:
- Demonstrable experience in enterprise level data platforms
involving implementation of end to end data pipelines -
- Good communication and willingness to work as a team
- Hands-on experience with at least one of the leading public
cloud data platforms (Amazon Web Services, Azure or Google Cloud)
-
- Experience with column-oriented database technologies (i.e. Big
Query, Redshift, Vertica), NoSQL database technologies (i.e.
DynamoDB, BigTable, Cosmos DB, etc.) and traditional database
systems (i.e. SQL Server, Oracle, MySQL)
- Experience in architecting data pipelines and solutions for
both streaming and batch integrations using tools/frameworks like
Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark,
Spark Streaming, etc. -
- Ability to handle multiple responsibilities simultaneously in
leadership and contributing to tasks "hands-on"
- Understanding of data modeling, warehouse design and
fact/dimension conceptsAdditional InformationSet Yourself Apart
With:
- Certifications for any of the cloud services like AWS, GCP or
Azure
- Experience working with code repositories and continuous
integration
- Understanding of development and project methodologiesBenefits
of Working Here:
- Flexible vacation policy; time is not limited, allocated, or
accrued
- 15 paid holidays throughout the year
- Generous parental leave and new parent transition program
- Tuition reimbursement
- Corporate gift matching programAs part of our dedication to an
inclusive and diverse workforce, Publicis Sapient is committed to
Equal Employment Opportunity without regard for race, color,
national origin, ethnicity, gender, protected veteran status,
disability, sexual orientation, gender identity, or religion. We
are also committed to providing reasonable accommodations for
qualified individuals with disabilities and disabled veterans in
our job application procedures. If you need assistance or an
accommodation due to a disability, you may contact us at - -or you
may call us at +1-617-621-0200.
Keywords: Publicis Groupe, New York , Manager Data Engineering, Engineering , New York, New York
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