Senior Data Engineer

CriticalRiver Inc.; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology consulting firm is looking for a Senior Data Engineer to lead the migration from Amazon Redshift to Snowflake. The ideal candidate will have expertise in Snowflake architecture, proficiency in DBT, and hands-on experience with observability tools like Splunk and OpsGenie. This is a remote position requiring strong initiative and a focus on data governance and quality. Responsibilities include coding transformations, implementing observability checks, and ensuring data integrity during the migration process.

Qualificações

• Expertise in Snowflake architecture and migration patterns.
• Strong proficiency in DBT for data modeling and transformation.
• Experience in automating alerts with Splunk and OpsGenie.

Responsabilidades

• Drive migration execution from Redshift to Snowflake.
• Implement DBT for data transformation and integration.
• Operationalize data governance practices.

Conhecimentos

Snowflake

DBT

Splunk

OpsGenie

Data Governance

AWS DMS

Ferramentas

Atmos

Descrição da oferta de emprego

Job Title : Senior Data Engineer (Snowflake & Observability Implementation) Location : LATAM [Remote]

Duration : 6 Months

Need to work on PST hours

Mandatory Skills

• Snowflake
• DBT, Splunk, OpsGenie, Snowflake + Streamlit, Splunk Dashboards and Version Control & IaC

Role Overview

We are seeking a proactive and hands-on Senior Data Engineer to drive the execution phase of our migration from Amazon Redshift to Snowflake. The architectural design is complete; we need a builder who can code, implement, and operationalize the solution with a heavy focus on Good Governance, Data Quality, and Observability at scale.

You will pick up where a previous engagement left off, leveraging DBT for transformations and driving the roadmap for 2026. You will work alongside an existing Data Engineer but are expected to lead the implementation with high initiative.

Key Responsibilities

Migration & Transformation Execution

• Lead the Implementation: Execute the transition from Redshift to Snowflake based on existing designs.
• DBT Transformation: Utilize DBT to manage transformations for DMS (Database Migration Service) outputs and ensure seamless data integration.
• Code & Drive: You will be responsible for writing the code, configuring the environment, and driving the project forward to meet 2026 roadmap goals.
• Measure Output: Implement metrics to validate and measure the output of DMS processes to ensure accuracy.

Data Observability & Alerting at Scale

• Enterprise Alerting Integration: Operationalize a POC that connects Splunk to OpsGenie.
• Scale Observability: Deploy observability checks (Freshness, Validity, Volume) across all tables in the ecosystem.
• Incident Routing: Configure automated workflows to ensure alerts reach the correct contact immediately via OpsGenie.

Governance & Quality

• Data Governance: Enforce Good Governance practices, including rigorous Data Quality (DQ) checks and comprehensive documentation.
• Change Management: Manage the change process for data pipelines and schema evolution.
• Advanced DQ Tooling: Operationalize a DQ POC using Atlan, specifically leveraging its natural language capabilities for data discovery and quality management.

Qualifications

Technical Skills

• Snowflake (Expert): Deep experience with Snowflake architecture and migration patterns (Redshift to Snowflake preferred).
• DBT (Required): Strong proficiency in DBT for data modeling and transformation.
• Observability Stack: Hands-on experience with Splunk and OpsGenie (specifically integrating the two for automated alerting).
• Data Quality Tools: Familiarity with Atlan or similar modern data governance / catalog tools.
• AWS DMS: Experience handling output from AWS Database Migration Service or similar migration tools.

Soft Skills & Attributes

• High Initiative: You are a self-starter who identifies gaps and fixes them without needing constant direction.
• Execution-Focused: You prefer building and coding over pure theory / design.
• Communication: Ability to document technical processes clearly for future maintenance.