HHiring Reality
← WIZELINE

Data Engineer (Databricks)

WIZELINE
Location
Argentina
Posted
16 days ago
Department
Data Engineering
What they actually want (must-haves)
  • Proven experience designing, building, and maintaining scalable data pipelines (ETL/ELT processes)
  • Background in designing and implementing data warehouse architectures and data lakes
  • Experience managing distributed computing systems and handling large-scale, high-throughput datasets
  • Demonstrated experience in data modeling (e.g., dimensional modeling, star schemas, data vault)
  • Advanced relational and non-relational database design and optimization
  • Stream and batch data processing paradigms
Nice to have
  • Leverage one or more AI tools to optimize and augment day-to-day work, including workflow automation, data processing, or research
  • Identify opportunities to streamline data engineering processes
What the job really is

As a Data Engineer at Wizeline, you will design, build, and maintain scalable data pipelines and data warehouse architectures, while managing distributed computing systems and large datasets. You will work with advanced SQL and tools like Azure and Databricks, ensuring data quality and collaborating with software engineers and data consumers to optimize data processes.

Benefits
  • Opportunities to create personalized career paths
  • Develop in-demand skills
  • Free education program, Wizeline Academy, to help employees and the broader community upskill in tech
Things to weigh
  • No salary listed
  • The role emphasizes collaboration between engineers and data consumers, which may require strong interpersonal skills
  • The tech stack includes Azure and Databricks, which may require specific expertise
Job score3/5
Benefits2/5
Freshness4/5
Career value4/5
Role clarity5/5
Pay transparency0/5

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