Sr Data Engineer

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, M, 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.