Big Data + Snowflake Engineer
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Job Summary
Job Description:
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Translate complex business and analytical needs into scalable resilient data architectures and pipelines.
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Design and implement high performance distributed pipelines (batch & streaming) with strong SLAs monitoring and cost efficiency.
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Build lakehouse and warehouse solutions (e.g. Delta/Iceberg/Hudi Snowflake) with robust semantic/data models.
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End to end ownership: requirements architecture build deploy monitor optimize.
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ETL/ELT excellence with Informatica SnapLogic Azure Data Factory Azure Functions Python and Databricks/Spark.
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Azure platform proficiency including: Azure Data Factory Azure Databricks AKS Azure Service Bus (ASB) API Management Storage Accounts Event Hub/Event Grid Redis Cache.
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Strong RDBMS/NoSQL experience: Oracle SQL Server/SQL MI MySQL Postgres Cosmos DB MongoDB.
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DataOps/DevOps: CI/CD pipelines (GitHub Actions/Azure DevOps) unit/integration tests automated data quality and infrastructure as code (Bicep/ARM/Terraform).
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Data quality & observability (e.g. Great Expectations/Deequ/Monte Carlo) schema evolution partitioning and performance tuning.
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Build tools and frameworks that turn pipelines into actionable insights for key business KPIs; partner with BI/analytics teams.
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Strong Agile delivery-driving epics stories and tasks using Agile/Scrum and Jira; excellent written and verbal communication
