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Wakapi

Data Engineer (Core & Analytics)

Capital Departmentonsitemid

Posted 1mo ago · via Teamtailor

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About this role

The Role: Builds performant data processing pipelines, manages relational databases, and constructs cloud-portable data lake environments using modern open storage formats and embedded analytical engines. Responsibilities: Pipeline Design: Construct resilient data processing pipelines in Python using Medallion architecture principles (Bronze/Silver/Gold) to transform raw data into analytics-ready assets. Open Storage Management: Standardize data storage using open formats including Parquet, Apache Iceberg, and Delta Lake to ensure cross-cloud compatibility. Embedded Analytics: Leverage DuckDB integrated with Python for fast, lightweight, and performant localized data processing within ETL workflows.…

Read the full description on Wakapi's site →

What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, sql, postgresql, sqlite, databricks…

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Capital Department. We weight your proximity and willingness to relocate.

Score yourself on this role.
Free · no card · written explanation included
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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonsqlpostgresqlsqlitedatabricksduckdbsparkpyspark

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