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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and implement scalable data pipelines and ETL/ELT processes using cloud platforms like AWS and Databricks.
Ensure data quality, integrity, and system availability by monitoring, testing, and troubleshooting data engineering solutions in an Agile SAFE product team.
Collaborate with product managers, designers, and engineers to deliver high-quality data engineering applications and automate operations to minimize downtime.
Minimum Requirements
Bachelor's degree in Computer Science, Information Technology, or related field.
5-9 years of work experience in data engineering or related fields.
Proficiency in Python or Scala programming and efficient SQL skills.
Experience with data engineering platforms such as Databricks, cloud platforms (AWS), and Agile development methodologies with familiarity in tools like GIT and JIRA.
Ideal Candidate Profile
Experienced in building end-to-end data pipelines and applying data modeling, validation, and monitoring techniques with limited supervision.
Familiar with software engineering best practices including version control (Git), CI/CD, automated testing, and DevOps in global team environments.
Comfortable working in Agile/Scrum methodologies within cross-functional and virtual teams, with a broad interest in integrating emerging AI tools into data engineering workflows.