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Senior Data Engineer builds and maintains scalable ETL/ELT pipelines, data lakes, and cloud infrastructure in Python, SQL, and AWS to support marketing analytics and reporting.
Builds and maintains scalable ETL pipelines and data warehouses in Python/SQL to feed analytics and reporting for financial markets.
Build and maintain ETL pipelines in Azure Databricks and SQL, curate data in a central lake, and serve analytics using Synapse, CosmosDB, and streaming tech.
Build and maintain ETL pipelines, reports, and cloud data solutions in Azure to ensure data integrity and availability for HR and healthcare systems.
Designs and maintains data pipelines to move and transform financial data between source systems and target databases for BI and analytics using Ab Initio and cloud tools.
Builds and maintains ETL pipelines in Azure Databricks and SQL, curates data lakes, and serves analytics using Azure Synapse and CosmosDB.
Designs and maintains ETL/ELT pipelines in AWS (Glue, Lambda, Redshift) to move and transform data, plus supports ML environments and optimizes data warehouse performance.
Build and maintain data pipelines, APIs, and cloud-based analytics solutions using Azure, SQL, and Python to deliver real-time and batch data for clients.
Designs and maintains Azure-based data pipelines and warehouses, integrating SAP systems to deliver real-time analytics and insights for business decision-making.
Builds and optimizes data pipelines and ETL processes using Python, Java, Scala, and AWS to transform raw data into actionable insights for a telecom company.
Build and maintain data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial services reporting and analytics.
Builds and maintains scalable Azure data pipelines and warehouses for an automotive mobility company using Python, Spark, SQL, and Azure Data Factory/Databricks.
Builds and maintains data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial reporting and analytics in an asset-management context.
Design and build data pipelines and analytics products using Python, SQL, and Azure to deliver insights for business decisions.
Design and maintain data pipelines, integrate sources, and optimize architectures for a South African data-solutions consultancy.
Design and optimize data systems to build robust infrastructure that delivers actionable insights for a telecom company.
Senior Data Engineer builds and maintains scalable data pipelines, optimizes cloud-based data models, and deploys solutions using AWS/Azure/GCP, Python, and SQL.
Build and maintain scalable Azure data pipelines and warehouses for an automotive company, using Python, Spark, SQL, and Azure Data Factory/Databricks.
Build and maintain AWS-based big-data pipelines for a mobility/climatetech/logistics company, validating data accuracy and ensuring secure sharing.
Build and maintain big-data pipelines and ETL workflows using Python, SQL, PySpark, Terraform, and AWS; collaborate via JIRA and Confluence.
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