Senior Data Engineer

CriticalRiver Inc.; Teletrabalho; BRL 236.000 - 368.000; Tempo integral

Resumo da oferta

A data transformation and governance company is seeking a proactive Senior Data Engineer to lead the migration from Amazon Redshift to Snowflake. The role demands a focus on data quality and observability, with responsibilities including coding, implementing solutions, and managing the execution of transformations using DBT. The ideal candidate will possess deep experience with Snowflake and familiarities with tools like Splunk and OpsGenie. This is a remote position requiring effective communication and high initiative.

Qualificações

• Deep experience with Snowflake architecture and migration patterns.
• Strong proficiency in DBT for data modeling and transformation.
• Hands-on experience with Splunk and OpsGenie.

Responsabilidades

• Lead the transition from Redshift to Snowflake based on existing designs.
• Utilize DBT for managing transformations and ensuring seamless integration.
• Implement metrics to validate and measure DMS output accuracy.

Conhecimentos

Snowflake

DBT

Splunk

OpsGenie

Data Quality Tools

Ferramentas

AWS DMS

Atlan

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.