Senior Data Engineer: Snowflake, dbt, Remote/Hybrid

APPLY; Colombia; Híbrido; COP 282 912 000 - 408 651 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Generous vacation policy

Flexible work arrangements

Remote/hybrid friendly culture

Resumo da oferta

APPLY is seeking a Senior Data Engineer to join our Data team. You will build and own data foundations on Snowflake using dbt-based ELT, from source audits through modeling to activation pipelines into Braze.

You will work with cross-functional teams, clients, and third-party vendors to define data requirements and translate business needs into technical specs, delivering actionable recommendations in a dynamic environment.

Qualificações

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 5 years of experience in data engineering or related fields.
• Expert-level SQL and strong experience in ELT/ETL and cloud data warehousing, with hands‑on Snowflake experience.
• Strong hands‑on experience with dbt (modelling, tests, documentation, macros) and git-based workflows (branching, code review, CI/CD).
• Proven experience in data modelling (dimensional and semantic layers) and analysis techniques.
• Experience with customer data modelling and identity resolution across CRM, marketing and product sources.
• Experience integrating data with customer engagement platforms (Braze, Salesforce Marketing Cloud, Sailthru or similar).
• Experience planning data migrations between platforms: source audit, mapping, target structure definition and historical backfill.
• Working knowledge of Python for data tooling and automation.
• Working knowledge of at least one major cloud platform (AWS or GCP) and its data services.
• Demonstrated ability to troubleshoot data issues and develop effective solutions.
• Comfortable producing written guidelines and recommendations for client and third‑party teams.
• Understanding of data privacy and security best practices.
• Excellent communication and problem‑solving skills.
• Fluent English.

Responsabilidades

• Define data requirements and technology stack with vendors and clients.
• Audit source systems and define migration guidelines.
• Translate business requirements into technical specifications including data streams, integrations, transformations, databases and data warehouses.
• Design and build transformation layers in dbt on Snowflake, including identity resolution and semantic layers.
• Build and maintain pipelines that activate data in Braze and other platforms.
• Run discovery audits of digital products and provide data foundation recommendations.
• Work in git-based workflows with code review, dbt tests and existing CI/CD processes for warehouse objects.
• Define the data architecture framework, standards and principles, including modelling, metadata, security and reference data.
• Create a plan of activities required to populate new solutions with all current and historical data.
• Implement data security and access controls to ensure compliance with company policies and regulation.
• Document data sources, ELT/ETL processes, data dictionaries and metadata to facilitate data discovery; maintain data lineage and data flow documentation.
• Research, evaluate and recommend new technologies, and develop best practices for data management, security and privacy.

Conhecimentos

SQL

dbt

Python

Snowflake

ETL/ELT

Data modelling

Git workflows

Cloud platforms AWS/GCP

Data pipelines

Communication

Formação académica

Bachelor's degree

Ferramentas

Snowflake

dbt

Git

Descrição da oferta de emprego

APPLY is seeking a Senior Data Engineer to join our Data team. You will build and own data foundations on Snowflake using dbt-based ELT, from source audits through modeling to activation pipelines into Braze.

You will work with cross-functional teams, clients, and third-party vendors to define data requirements and translate business needs into technical specs, delivering actionable recommendations in a dynamic environment.