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Builds and maintains data pipelines and analytics platforms using Microsoft Fabric, Delta Lake, and Azure technologies to transform enterprise data into actionable insights for reporting and decision-making.
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
Senior Data Engineer designs and maintains scalable data pipelines in Azure using Databricks, Unity Catalog, and ADF, collaborating with architects and stakeholders to deliver secure, governed data platforms and cloud analytics, building Delta Lake architectures and implementing CI/CD for data products.
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.
Designs and implements scalable data architectures using Databricks (Delta Lake, Unity Catalog) to solve complex data challenges for clients in healthcare, finance, and government. Leads technical teams, mentors engineers, and drives cloud-native data solutions with Python/Java and modern data workflows.
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
Builds and optimizes AI-powered data pipelines in Python, SQL, Databricks, and Azure Data Factory for lakehouse architectures.
Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Designs and maintains large-scale data pipelines, data models, and APIs for a data-driven advertising company, using Python, SQL, Spark/Databricks, and Redshift to process billions of rows of data for campaign optimization.
Lead a team building and optimizing SQL Server-based data pipelines and analytics platforms on Azure, focusing on Synapse, Spark, and lakehouse architectures.
Designs and builds Renesas’ enterprise data platform on Azure Databricks, Unity Catalog, and Delta Lake, shaping data ingestion, modeling, and governance for SAP/manufacturing domains while ensuring scalability, security, and data quality.
Designs and maintains scalable data platforms and pipelines using Databricks, AWS, and modern data engineering tools to enable analytics, ML, and data governance for enterprise clients.
Senior Java engineer at Starburst building and maintaining data connectors for Trino and Starburst’s analytics platform, enabling secure access to diverse enterprise data sources.
. Sobre a área: O time de Engenharia de Dados da Incognia é responsável por sustentar e manter a infraestrutura que processa e armazena volumes massivos de dados. O objetivo é garantir que a nossa arquitetura de dados…
Designs and builds Delta Lake tables for financial datasets (AR, GL, invoices) using Databricks, creating PySpark pipelines for ERP data processing and integrating LLMs for semantic query tuning.
Lead a team to design, build, and deploy AI and data solutions on Databricks for enterprise clients, focusing on Lakehouse architecture, Mosaic AI, and production-grade systems.
Important Notice for Applicants: At Bixal, we want to ensure a transparent and secure application process for all candidates. Official communication will come from an email address ending in @bixal.com or from…
Develop full-stack and back-end components for a meter data management system using Java/Scala, AWS, and big data tools to process utility data for billing and analytics.
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