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Wakapi

Data Engineer – Core, Analytics

Wakapi

. Construct resilient Python data processing pipelines using Medallion architecture principles (Bronze/Silver/Gold) .

Posted 9/29/2026full-timeMendoza • ArgentinaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in constructing resilient data processing pipelines using Python and Medallion architecture principles, with a strong focus on data transformation and storage optimization. Proficient in leveraging advanced SQL and various data technologies to build and scale analytical solutions.

Highest-signal resume keywords
Python Data ProcessingAdvanced SQL ProficiencyPostgreSQL ExpertiseMedallion Architecture DesignDatabricks / PySpark Familiarity

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data TransformationETL WorkflowsData Lake DesignParquet MasteryApache Iceberg ProficiencyDelta Lake MasteryDuckDB UtilizationPostgreSQL Schema OptimizationSQLite KnowledgeApache Spark Scaling
Tools & Technologies
DatabricksDuckDBPostgreSQLSQLiteApache SparkParquetApache IcebergDelta Lake
Industry Keywords
Data Processing PipelinesAnalytics-Ready AssetsMedallion ArchitectureData Transformation WorkloadsLocalized Data Processing

Tech Stack

Tools & technologies
ApacheETLPostgresPySparkPythonSparkSQLSQLite

About the role

Key responsibilities & impact
  • Construct resilient Python data processing pipelines using Medallion architecture principles (Bronze/Silver/Gold)
  • Transform raw data into analytics-ready assets
  • Standardize data storage using Parquet, Apache Iceberg, and Delta Lake
  • Leverage DuckDB with Python for localized data processing within ETL workflows
  • Architect and optimize production PostgreSQL schemas
  • Utilize SQLite for embedded or lightweight localized storage
  • Scale ETL, data transformation, and analytics workloads using Databricks or Apache Spark

Requirements

What you’ll need
  • Advanced SQL proficiency
  • Deep PostgreSQL expertise
  • Working knowledge of SQLite
  • Hands-on experience building robust analytical pipelines using Python and DuckDB
  • Mastery of Parquet, Apache Iceberg, and Delta Lake
  • Proven track record designing data lakes using Medallion data processing architecture
  • Familiarity with the Databricks / PySpark ecosystem for distributed processing

Benefits

Comp & perks
  • Excellent working conditions
  • An ever-evolving benefits package
  • A great working environment
  • Personalized career plans to achieve professional goals
  • Continuous training programs
  • Professional growth opportunities