Senior Data Engineer

KMM

full-time

Posted on: 10/9/2025

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Senior

AirflowApacheAWSAzureCloudDockerGrafanaOraclePostgresPrometheusPythonSparkSQL

About the role

Design, develop, and maintain robust, scalable, and secure data pipelines and architectures.
Collaborate with the data team and business stakeholders to ensure data availability and reliability.
Develop, orchestrate, and monitor data pipelines using Apache Airflow.
Implement monitoring and alerting routines (structured logs, metrics, and notifications).
Model and implement bronze, silver, and gold layers in a Databricks-based data lake.
Build and maintain data integrations from REST APIs, relational databases, CSV/Excel/Parquet files, and message queues.
Ensure pipeline observability and quality with unit and integration tests and up-to-date technical documentation.

Proficiency in Python for developing pipelines and automations.
Advanced SQL knowledge (complex queries, tuning, indexes, CTEs, partitioning, materialized views).
Strong experience with Apache Airflow (orchestration, version control, monitoring).
Experience with PostgreSQL and data modeling for data lakes.
Familiarity with object storage (S3 or equivalent) and optimized file formats (Parquet, ORC, GZIP).
Experience with Git and good code versioning practices.
Knowledge of Oracle/PLSQL is a plus.
Experience with Databricks or similar environments (Spark, Delta Lake) is desirable.
Familiarity with Docker, DBT, and monitoring with Prometheus/Grafana is desirable.
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related fields.
Cloud or data engineering certifications (AWS, Azure, Databricks, etc.) are a plus.

Benefits

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

PythonSQLApache AirflowPostgreSQLDatabricksDockerDBTPrometheusGrafanadata modeling

AWSAzureDatabricks