Here are some of the exciting day-to-day challenges you will face in this role:
- Design, develop, and maintain data pipelines and data stores that support enterprise data science, analytics, and operations.
- Identify, track, and analyze the performance of data layer services, implementing solutions and improvements to enhance stability, efficiency, and performance.
- Collaborate with your peers across the Research and Technology organization.
You will shine if you have:
- Bachelor’s degree in Computer Science, Information Systems or demonstrated ability in a related field is required.
- Experience working with data environments in an engineering or technical capacity
- Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches.
- Experience with or exposure to data visualization principles and practices, especially with PowerBI and Tableau
- Ingest data from internal and external sources using cloud-native AWS platform technologies (e.g., S3, EMR (Spark), Lambda, Kinesis, Firehose, Glue, Terraform)
- 1-5 years of experience working with data environments in an engineering or technical capacity
- Strong communication skills and an interest in advancing your knowledge of data engineering
- Excellent time management skills
- Driven, self-motivated attitude. Ability to do great work independently with minimal direction.
- Ambitious and collaborative team player.
What we offer:
- Salary in USD
- Flexible schedule (within US Time zones)
- 100% Remote
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