Senior Data Engineer/Data & Analytics engineer
Job Attributes

Job Description
Job Title: Senior Data Engineer/Data & Analytics
engineer
Location: New York, NY 10016
Duration: Perm (FTE) role
Job Description:
Senior Data Engineer
Seeking an enthusiastic and experienced Senior Data Engineer
to lead the team building cutting edge Ad Tech Data products in Delivery,
Forecasting, Campaign Management and Reporting. Part of the growing Data &
Product development team, the candidate should have experience defining the
data strategy and roadmap, creating implementation goals and working with the
internal and external teams to execute on the strategy. A successful candidate
applies his/her expertise in state-of-the-art digital technologies, cloud data
architecture, modern data warehouses and is relied on by top management to
serve as a proxy for the market.
This person is a multi-tasker with attention to detail, who
is comfortable being the go-to expert for Digital Ad-Tech. He/She is obsessive
about customer needs and can create a collaborative work environment to address
those needs; makes decisions based on data and involving all areas of the
business as part of the product development lifecycle.
Responsibilities:
- Oversees
and directs the work of Ad Tech Data Support Specialist and Business
Analyst/ Project Lead positions, including creating an ongoing training
and development plan.
- Define,
prioritize, and maintain tactical
roadmap for our customer facing applications, in alignment with our
strategic vision.
- Daily
Interactions with senior management to keep abreast of objectives.
- Serve
as the domain expert for your area, with a deep understanding of the ad
tech landscape, its table stakes, as well as how can differentiate.
- Authors
requirements and user stories in conjunction (with stakeholders as
necessary) ensuring that market needs are met. Ensures documentation of
requirements and business logic are accounted for and up-to-date.
- Creates
buy-in for the Data & Insights vision, both internally and with key
external partners; Manage prioritization and trade-offs among all
stakeholders.
- Proactively
identify, troubleshoot and resolve strategic issues that may impair the
team’s ability to meet technical or strategic goals.
Requirements:
- 5+
years of experience designing, architecting & implementing data
warehouse solutions.
- Has
an affinity towards large datasets, an inherent ability to observe trends
and draw actionable insights from the same.
- Hands
on experience on Cloud data warehouses preferably on Snowflake/Google Big
Query.
- Hands
on experience with any of the Cloud technologies like GCP, AWS, Azure
- 5+
years on experience in writing complex SQL queries, ETL/ELT pipeline
development and Reporting development.
- 2+
years of experience in programming languages preferably in Python.
- 2+
years of experience in reporting development preferably in Tableau/Google
Data Studio.
- Experience
managing an agile design driven, user-centered data and development team.
- Proven
ability to partner effectively across functions, with an exposure to
complex organizations and the ability to gain shared vision on data
product decisions and priority trade-offs.
- Excellent
communication skills, both verbal and written, with meticulous attention
to detail. Ability to communicate technical issues simply to help drive
fast decisions.
- Deep
experience with identity, data privacy, audience targeting, cross-device
graphs and related technologies.
- Advanced
knowledge of digital advertising technology not just limited to ad
serving, analytics, DSP, DMP, SSP, QA, and targeting.
- Has
hands-on experience working with tools and systems that are instrumental
at various stages of digital ad campaigns.
- Preferably
has knowledge on implementing and testing third party tags across video
platforms. Utilizing customer driven design and development and lean
startup methodologies, have a fail fast mindset.
- A
fast learning curve, with the ability to understand our customer’s needs
on both a business and technical level.
- Travel
(no more than 5%) to sales/client meetings to gather feedback on existing
data products and new features to be included in the roadmap.