Senior Data Engineer
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Job TitleSenior Data Engineer (Snowflake & Observability Implementation) Location : LATAM (Remote)Duration6 MonthsNeed to work on PST hoursMandatory SkillsSnowflakeDBTSplunkOpsGenieSnowflake + StreamlitSplunk DashboardsVersion Control & IaCRole 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 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 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.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 using Atlan, 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 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 & 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.#J-*****-Ljbffr
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