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Tech Stack
Tools & technologiesETLNoSQLPythonScalaSQL
About the role
Key responsibilities & impact- ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips
- crafting and shaping data platforms that power our organization's success
- engineering the backbone of our data infrastructure
- ensuring the availability of pristine, refined data sets
- understanding project objectives and requirements from a business perspective
- uncovering quality issues and initial insights
- architecting data pipelines, using expertise to cleanse, normalize, and transform raw data
- scrutinizing data solutions to ensure alignment with business and technical requirements
Requirements
What you’ll need- 5+ years of experience in data engineering or related roles
- Strong experience with SQL and data modeling techniques
- Hands-on experience designing and developing ETL/ELT processes
- Proficiency in Python or Scala for data processing
- Experience working with relational and/or NoSQL databases
- Familiarity with Git for version control and collaboration
- Exposure to CI/CD pipelines for deploying and managing data processes
- Basic English proficiency for technical documentation and collaboration with global teams.
Benefits
Comp & perks- flexible, supportive environment
- Be Well programs designed to support financial, mental, physical, and social health
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata modelingETLELTPythonScalarelational databasesNoSQL databasesdata pipelinesdata cleansing
Soft Skills
understanding project objectivesbusiness perspectivequality issue identificationinsight generationcollaborationcommunication