We are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights
organization to build data solutions, design and implement ETL/ELT processes and manage our data
platform to enable our cross functional stakeholders. As a part of our Corporate Engineering division, our
vision is to spearhead technology and data-led solutions and experiences to drive growth & innovation at
scale.
The ideal candidate will have a strong Data Engineering background, advanced Python knowledge and
experience with cloud services and SQL/NoSQL databases.
You will work closely with our cross functional stakeholders in Product, Finance and GTM along with
Business and Enterprise Technology teams.
As a Senior Data Engineer, you will:
● Collaborating closely with various stakeholders to prioritize requests, identify improvements, and
offer recommendations.
● Taking the lead in analyzing, designing, and implementing data solutions, which involves
constructing and designing data models and ETL processes.
● Cultivating collaboration with corporate engineering, product teams, and other engineering
groups.
● Leading and mentoring engineering discussions, advocating for best practices.
● Actively participating in design and code reviews.
● Accessing and exploring third-party data APIs to determine the data required to meet business
needs.
● Ensuring data quality and integrity across different sources and systems.
● Managing data pipelines for both analytics and operational purposes.
● Continuously enhancing processes and policies to improve SLA and SOX compliance.
You'll be a great addition to the team if you have:
● Hold a B.S., M.S., or Ph.D. in Computer Science or a related technical field.
● Possess over 5 years of experience in Data Engineering, focusing on building and maintaining
data environments.
● Demonstrate at least 5 years of experience in designing and constructing ETL/ELT processes,
managing data solutions within an SLA-driven environment.
● Exhibit a strong background in developing data products, APIs, and maintaining testing,
monitoring, isolation, and SLA processes.
● Possess advanced knowledge of SQL/NoSQL databases (such as Snowflake, Redshift,
MongoDB).
● Proficient in programming with Python or other scripting languages.
● Have familiarity with columnar OLAP databases and data modeling.
● Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using
GitHub, and reporting in Tableau.
● Possess excellent communication and interpersonal skills to effectively collaborate with various
business stakeholders and translate requirements.
Added bonus if you also have:
● A good understanding of Salesforce & Netsuite systems
● Experience in SAAS environments
● Designed and deployed ML models
● Experience with events and streaming data
