Job Description

Please note: Although our position is primarily remote / virtual (could be some occasional onsite in downtown San Jose, should you live close enough) you MUST live, and be authorized to work, in Costa Rica without sponsorship. Candidates in other Latin America (LATAM) countries can be considered as an employee if willing to relocate to Costa Rica or can work via our 3rd party payroll company.

DATA ENGINEER (DATABRICKS, PYTHON, SPARK) 

This is a full-time, well benefited, career opportunity in our Data & Analytics organization (Azure DataWarehouse / DataLakehouse and Business Intelligence) for a highly experienced Data Engineer in Big Data systems design with hnads-on knowledge in data architecture, especially Spark and Delta/Data Lake technologies.

Individuals in this role will assist in the design, development, enhancement, and maintenance of complex data pipelines products that manage business critical operations, and large-scale analytics pipelines.   Qualified applicants will have a demonstrated capability to learn new concepts quickly, have a data engineering background, and/or have robust software engineering expertise.  

Responsibilities

• Scope and execute together with team leadership. Work with the team to understand platform capabilities and how to best improve and expand those capabilities.
• Strong independence and autonomy.
• Design, development, enhancement, and maintenance of complex data pipeline products which manage business-critical operations and large-scale analytics applications.
• Experience leading mid- and senior-level data engineers. 
• Support analytics, data science and/or engineering teams and understand their unique needs and challenges. 
• Instill excellence into the processes, methodologies, standards, and technology choices embraced by the team.
• Embrace new concepts quickly to keep up with fast-moving data engineering technology.
• Dedicate time to continuous learning to keep the team appraised of the latest developments in the space.
• Commitment to developing technical maturity across the company.

Qualifications

• 5+ years of Data Engineering experience including 2+ years designing and building Databricks data pipelines is REQUIRED; Azure cloud is highly preferred, however will consider AWS, GCP or other cloud platform experience in lieu of Azure
• Experience with conceptual, logical and/or physical database designs is a plus
• 2+ years of hands-on Python/Pyspark/SparkSQL and/or Scala experience is REQUIRED
• 2+ years of experience with Big Data pipelines or DAG Tools (Data Factory, Airflow, dbt, or similar) is REQUIRED
• 2+ years of Spark experience (especially Databricks Spark and Delta Lake) is REQUIRED
• 2+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes, is REQUIRED
• Experience with source control (git) on the command line is REQUIRED
• 2+ years of SQL experience, specifically to write complex, highly optimized queries across large volumes of data is HIGHLY DESIRED
• Data modeling / data profiling capabilities with Kimball/star schema methodology is a plus
• Professional experience with Kafka, or other live data streaming technology, is HIGHLY DESIRED
• Professional experience with database deployment pipelines (i.e., dacpac’s or similar technology) is HIGHLY DESIRED
• Professional experience with one or more unit testing or data quality frameworks is HIGHLY DESIRED

#LI-CA1

#REMOTE

#databricks

#python

#spark

#dataengineer

#datawrangler

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