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Build and maintain scalable data pipelines and quality frameworks using Spark, Databricks, Azure Data Factory, and streaming systems for chemical and scientific datasets.
Build and maintain CI/CD pipelines and cloud-based data workflows for inertial positioning algorithms, converting MATLAB code to C and automating validation and deployment for robotics and autonomous systems.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Senior Data Engineer builds and maintains scalable data pipelines for chemical pipeline observability using Spark, Databricks, and Azure Data Factory with Kafka-compatible streaming.
Build and maintain scalable data pipelines and transformations on cloud platforms like Azure, AWS, or GCP, using tools such as Azure Data Factory or Synapse Analytics.
Build and deploy end-to-end data/AI pipelines for clients, integrating ML models, cloud-native stacks (AWS/Azure/GCP), and real-time processing to turn raw data into business insights and operational tools.
Senior Data Engineer to migrate Oracle databases to PostgreSQL, convert ODI pipelines to Azure Data Factory, and build Power BI reports for business insights.
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Build and maintain BOLIA’s BI backend—data pipelines, models, and integrations—using Power BI, SQL, Azure Data Factory, and Microsoft Fabric to power daily KPI tracking across 100+ stores.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Senior Data Engineer builds scalable Azure Fabric pipelines using PySpark, SQL, and Databricks to deliver real-time data for analytics and AI workloads.
Design and build scalable ETL pipelines, migrate legacy data to Azure, and model databases for a fintech firm using SQL, Oracle, and Azure services.
Lead a BI team to build and maintain Power BI/SAP dashboards and reports, translating business needs into KPIs and data-driven insights for an insurtech company.
Designs and builds scalable cloud data pipelines and platforms for clients, migrating legacy systems to modern cloud environments using Azure Data Factory, Synapse, and Snowflake.
Designs and builds scalable data pipelines and cloud-based ETL/ELT workflows to integrate and transform enterprise data for analytics and BI.
Build and maintain AI/ML pipelines and data infrastructure to support classification, detection, and predictive models using Python, Spark, and cloud data services.
Design and build cloud-based data pipelines and platforms for clients, enabling AI-driven analytics and modern data governance using tools like Azure, Snowflake, and Python.
Builds a new AI-powered data platform from scratch, focusing on full-stack development, data pipelines, lakehouse architecture, and AI-assisted features using React/Next.js, TypeScript, Node.js, Python, and Azure AI tools.
Builds and maintains ETL/ELT pipelines, models data warehouses, and ensures reliable data for reporting and analytics using SQL, Python, and cloud tools.
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
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