Cloud Data Engineer
SupersourcingUnited States
Posted December 12, 2025
Full Time
About the Company
Supersourcing is an AI‑powered recruitment platform that accelerates tech hiring by delivering pre‑vetted software engineers within 24–48 hours, cutting the time-to-fill by up to 90%. The service supports flexible engagement models—including full‑time, contract, and project‑based hires—while maintaining a global talent pool and a candidate drop‑off ratio of less than 1%. Supersourcing’s end‑to‑end support, from onboarding to post‑hire follow‑up, ensures seamless integration of talent into client teams. Trusted by startups and enterprise leaders alike, the company combines speed, quality, and personalized account management to meet the evolving demands of modern tech hiring.
Job Description
We are looking for a Cloud Data Engineer to design and implement ETL solutions on-premises and cloud platforms to support Enterprise data warehouse, Data Lake and advanced analytics capabilities.
Requirements
- 3+ years of Data Engineering experience in ETL design, development & optimization
- 3+ years of experience on Big Data technologies like Hadoop, Spark with Scala or Python
- 3+ years of experience in Relational and No-SQL database design, optimization, and performance
- 2+ years of experience with AWS Services like S3, EMR, Athena, Glue, Lambda, Redshift, Aurora
- Proficiency with modern software development methodologies such as Agile, source control CI/CD, project management and issue tracking with JIRA
- Strong problem-solving capabilities, results-oriented, and fact-based logic for decision making
- Ability to work with multiple projects and work streams at one time, deliver results based upon project deadlines
- Willing to flex daily work schedule to allow for time-zone differences for global team communications
- Strong interpersonal and communication skills
