#21272_R-44993
n a hard-working team environment and have an ability to both influence and communicate effectively with team members and business stakeholders alike.
Bachelor's degree or equivalent combination of education, experience or training
Minimum 5 years relevant work experience
Experience with data modeling, warehousing and building ETL pipelines; Must
have experience with any ETL tools, preferably Matillion
Experience with SQL and scripting languages such as Python, Shell
Experience building cloud scalable, real-time and high-performance data lake
solutions, preferably Databricks, Snowflake, AWS
Experience with source control tools preferred GitHub or Jenkins, terraform
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR and
orchestration tools like Airflow
A passion for data solutions and winning as a team
WHAT YOU'LL WORK ON
As a Senior Data Engineer on the Enterprise Data & Analytics team, you will drive work to completion with hands-on development responsibilities, and partner with the Lead Engineers to deliver quality components of a data product. You will build reusable components of a larger data pipeline to support data analytics products with guidance from experienced peers, all while working within an agile framework that focuses on delivering incremental value.
Design and build reusable components of a larger process or framework to support analytics products with guidance from experienced peers
Design and implement simple product features in collaboration with business and Technology stakeholders
Clean, prepare and optimize data for ingestion and consumption
Support the implementation of new data management projects and re-structure of the current data architecture
Implement simple automated workflows using workflow scheduling tools, such as Matillion or Brickflow
Understand and use current continuous integration, test-driven development and production deployment frameworks
Participate in design, code and test plan reviews to increase knowledge and application of best practices
Analyze and profile data for the purpose of designing components of a scalable solution
Troubleshoot straightforward data issues and perform root cause analysis to resolve product issues
We are committed to fostering a diverse and inclusive environment for all employees and job applicants. We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.