Mid-level Data Engineer

Tecla T

contract

Posted on: 11/26/2025

Location Type: Remote

Location: Brazil

✨ AI Apply

About the role

Work on building an integrated financial data platform.
Map and refine data sources.
Identify and document current sources (KMM, Rodopar).
Assess granularity, format, and quality of available data.
Create a data dictionary and a glossary of financial metrics.
Implement the Data Architecture.
Develop automated ingestion pipelines (ETL/ELT).
Process data with cleaning, standardization, and enrichment.
Model financial data (staging, processing, and cube layers).
Define the logical model of the semantic layer (facts, dimensions, and hierarchies).
Normalize and standardize naming conventions to ensure consistency.
Build the fact layer with appropriate granularity.

3–5 years of experience in data engineering.
Experience developing and maintaining ETL/ELT pipelines.
Strong SQL skills and experience handling large volumes of data.
Experience with data processing languages such as Python or Scala.
Experience with data modeling: staging, processing, and consumption layers.
Creation of fact and dimension tables.
Understanding of granularity and hierarchies.
Familiarity with orchestration and ingestion tools (e.g., Airflow, Databricks, ADF, Glue, or equivalents).
Experience with relational databases and data warehouse environments.
Ability to document data sources, business rules, and data structures.
Knowledge of data governance, cataloging, and best practices.
Experience with data lake environments or distributed architectures.
Basic knowledge of CI/CD and version control.
Prior experience with financial data is a plus.

Benefits

Remote 📊 Resume Score Upload your resume to see if it passes auto-rejection tools used by recruiters Check Resume Score

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

ETLELTSQLPythonScaladata modelingfact tablesdimension tablesdata processingdata governance

documentationanalytical skillsattention to detail