Senior Data Engineer

Há 4 horas


Ituiutaba, Brasil Criticalriver Inc. Tempo inteiro

Job Title: Senior Data Engineer (Snowflake & Observability Implementation)Location: LATAM [Remote]Duration: 6 MonthsNeed to work on PST hoursMandatory Skills : SnowflakeDBT, Splunk, Ops Genie, Snowflake + Streamlit, Splunk Dashboards and Version Control & Ia CRole OverviewWe 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 ****. You will work alongside an existing Data Engineer but are expected to lead the implementation with high initiative.Key Responsibilities1. Migration & Transformation ExecutionLead 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:This is not a passive role. You will be responsible for writing the code, configuring the environment, and driving the project forward to meet **** roadmap goals.Measure Output:Implement metrics to validate and measure the output of DMS processes to ensure accuracy.2. Data Observability & Alerting at ScaleEnterprise Alerting Integration:Operationalize a Proof of Concept (POC) that connectsSplunktoOps Genie.Scale Observability:Deploy observability checks (Freshness, Validity, Volume) acrossalltables in the ecosystem.Incident Routing:Configure automated workflows to ensure alerts reach the correct contact immediately via Ops Genie.3. Governance & QualityData 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 usingAtlan , specifically leveraging its natural language capabilities for data discovery and quality management.QualificationsTechnical SkillsSnowflake (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 withSplunkandOps Genie(specifically integrating the two for automated alerting).Data Quality Tools:Familiarity withAtlanor similar modern data governance/catalog tools.AWS DMS:Experience handling output from AWS Database Migration Service or similar migration tools.Soft Skills & AttributesHigh 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.


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