Senior Data Engineer, Converse Technology (Open to Atlanta, Beaverton, Boston location)

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.