Senior Data Engineer Lead - Remote & AWS Data Lake

INGEPSY

Sucre

Presencial

COP 120.000.000 - 200.000.000

Jornada completa

14 días+

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Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Growth without limits
Competitive compensation
Flexibility: 100% remote
Meaningful projects
Collaborative culture
Well-being & support

Descripción de la vacante

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a large-scale marketing analytics platform. You will design partitioning, file formats, schema, and near-real-time processing on an S3-backed data lake while guiding senior developers and enforcing code quality.

You will govern ETL pipelines, orchestrate DAGs with Airflow, and collaborate with DevOps across AWS data services (Athena, EKS).

Formación

  • 7+ years of engineering experience with ETL pipelines and large-volume data systems.
  • Hands-on OLAP-style analytics with Athena/Trino/BigQuery/Snowflake/Spark SQL.
  • Design against a data lake on object storage (S3) with Parquet/ORC formats.
  • Deep knowledge of DAG-based workflows and Airflow (or alternatives).
  • Experience AWS data stack: S3, Athena, EKS/Kubernetes; work with DevOps.
  • Strong Python backend skills (FastAPI/Flask); REST/GraphQL.
  • Docker and PostgreSQL for transactional/app layers.
  • Hands-on use of AI-assisted tools with responsible use guidance.
  • Strong communication and leadership; defend technical stance.
  • Upper-intermediate English.

Responsabilidades

  • Design and own ETL pipelines at scale.
  • Architect partitioning, file formats, and near-real-time processing for OLAP workloads.
  • Own DAG-based workflow design on Airflow, scaffolding pipelines and scheduling.
  • Drive AWS data stack usage with DevOps for scalable infrastructure.
  • Review PRs and enforce code quality.
  • Lead senior developers and align with client engineering practices.

Conocimientos

ETL pipelines design
OLAP data architecture
Airflow DAG orchestration
AWS data stack (S3, Athena, EKS)
Python backend (FastAPI/Flask)
REST & GraphQL
Docker & PostgreSQL
Unix/Linux CLI
AI-assisted development tools
Leadership & technical opinion
English (upper-intermediate)

Herramientas

Airflow
Trino/Presto/Spark SQL
Athena
Kubernetes / EKS
Docker
PostgreSQL

Descripción del empleo

AgileEngine is seeking a Lead Data Engineer to own the data pipeline and analytical architecture for a large-scale marketing analytics platform. You will design partitioning, file formats, schema, and near-real-time processing on an S3-backed data lake while guiding senior developers and enforcing code quality.

You will govern ETL pipelines, orchestrate DAGs with Airflow, and collaborate with DevOps across AWS data services (Athena, EKS).

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