We are looking for a Sr. Data Engineer to join the Data Activation team who
can operate across the enterprise to ensure on-time, high-quality delivery of
products and features that directly drive our business. The Data Activation team, within the Product & Data Engineering business unit, is responsible for sharing data with internal customers and external 3rd
party partners in a secure and reliable fashion, ensuing that chain-of-
custody of our sensitive data is maintained at every step of the process.

Responsibilities:
* Interfacing with the key stakeholders to understand the business
requirements
* Designing and developing necessary data models, ETL's, reports, etc. as
per requirements
* Working with big data technologies such as Spark and cloud database
technologies like Snowflake
* Writing test scripts and automating where possible (using tools such as but not limited to Pyspark, bash scripting, python)

Basic Qualification:
* Participating in code reviews
* Ensuring code is checked in as per company guidelines
* Participating in weekly scrum meetings and daily stand up meetings
* Contributing to ensure correct status in burn down charts
* Ensuring QA sign off is obtained, fix any bugs as discovered
* Supporting product signoff process and fix any issues / bugs discovered
* Providing post go-live support for addressing any P1 issues

Preferred Qualifications:
* 5 years of data engineering experience developing large data pipelines
* Strong SQL skills and ability to create queries to extract data and build
performant datasets
* Hands-on experience with distributed systems such as Spark (via
Databricks using Scala or Python) to query and process data.
* Experience with at least one major MPP (elastic map reduce) or cloud
database technology (Snowflake, Redshift, Big Query). Snowflake
experience is strongly preferred.
* Experience with AWS Cloud technologies (S3 at a minimum)
* Solid experience with data integration toolsets (i.e Airflow) and writing and

Required Education:
* BS STEM 5yrs