Hands-On Data Engineer (Azure Databricks, PySpark, dbt, Snowflake) at Technology Next | Torre

Hands-On Data Engineer (Azure Databricks, PySpark, dbt, Snowflake)

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Freelance
Recurrent
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Remote (anywhere)
Shared by
Erick Daniel Peralta Martinez
7 days ago

Responsibilities


Role: Data EngineerWe are looking for a hands-on Data Engineer with strong experience in modern cloud data engineering and scalable data pipelines.MUST-HAVE SKILLSAzure Databricks – MandatoryPySpark – MandatoryPython – Mandatorydbt – MandatorySnowflake – MandatoryStrong SQL & Data WarehousingKEY RESPONSIBILITIESDesign and develop scalable data pipelines using Azure Databricks & PySparkBuild production-grade ETL/ELT pipelines using Python and PySparkDevelop dbt models, transformations, tests, documentation & dependenciesWork extensively with Snowflake for data transformation, modeling and optimizationDevelop complex SQL queries and scalable data modelsIntegrate data from multiple source systems into Azure/SnowflakeImplement data quality, validation, reconciliation & error handlingOptimize Spark/PySpark workloads, Databricks jobs and Snowflake queriesTroubleshoot production pipeline failures and performance issuesFollow Git, CI/CD and Agile development practicesCollaborate with architects, stakeholders and engineering teamsLOOKING FORCandidates with strong hands-on experience in: Azure Databricks + PySpark + Python + dbt + Snowflake + SQLExperience with large-scale data processing, data warehousing, ETL/ELT, data modeling, data quality and performance optimization is highly preferred.