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Build and maintain high-performance Databricks pipelines in Python and SQL to power AI and analytics for enterprise clients in finance, healthcare, and tech.
Designs and builds scalable GCP data pipelines and warehouses, focusing on BigQuery, Dataflow, and Data Fusion to enable data-driven decisions and insights.
Designs, builds, and maintains ETL/ELT pipelines and data-integration solutions to ensure reliable, high-quality data for analytics and business decisions.
Designs, builds, and maintains data pipelines and ETL/ELT processes to integrate, clean, and store data for analytics and decision-making using SQL, Python, and cloud platforms.
Builds cloud-native .NET apps and serverless solutions on Azure, integrates systems, and designs scalable ETL/ELT data pipelines for enterprise use.
Build cloud-native .NET applications and data pipelines on Azure, including REST APIs, serverless functions, ETL/ELT workflows, and DevOps automation.
Build and maintain cloud-based data pipelines and warehouses in Azure to power automotive industry analytics, using Synapse, Data Factory, PySpark, and SQL.
Build and deploy Snowflake-based data warehouses and ETL/ELT pipelines in Python, modeling data for analytics and reporting in a fast-paced startup environment.
Builds and maintains Azure-based data pipelines and SQL models to power financial reporting and Power BI dashboards for a fintech-focused media company.
Builds and maintains Salesforce Data Cloud and Databricks pipelines to integrate, transform, and unify customer data for real-time decisioning, personalisation, and analytics in high-security enterprise environments.
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
Design and build cloud-native data pipelines and platforms for clients, using Snowflake/Databricks and infrastructure-as-code tools like Terraform to enable scalable analytics and transformation.
Design and build cloud-native data pipelines and platforms for clients, using Snowflake, Databricks, and infrastructure-as-code tools like Terraform.
Designs and builds secure, scalable cloud data pipelines and models for digital transformation, focusing on ingestion, processing, storage, and analytics while collaborating with cross-functional teams.
Build and maintain data pipelines, ETL/ELT processes, and integrations for a payments company, ensuring high-quality data for reporting, AI services, and operational systems.
Designs and builds scalable Azure Databricks pipelines using PySpark and Delta Lake to implement ETL/ELT frameworks across a lakehouse architecture.
Builds and optimizes scalable data pipelines on Azure using Databricks, PySpark, Delta Lake, and related services for ETL/ELT and streaming workloads.
Credigy is seeking a Production Support Engineer to join our Data and Automation team. This role is responsible for supporting, monitoring, troubleshooting, and improving production data pipelines across both modern…
Job Requisition ID # 26WD100353 Position Overview The the company Info360 Operational Analytics team is building the data infrastructure that powers modern water management, helping utilities monitor, predict, and…
Builds and maintains the data pipelines and Lakehouse/Warehouse models in Microsoft Fabric for a mobility group’s BI modernization, using PySpark, Data Factory, and Medallion architecture.
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