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Build and maintain scalable data pipelines using Databricks, GCP, and Azure to power AI model training, RAG-based search, and enterprise analytics.
Design and maintain scalable data pipelines for a fintech platform, enabling analytics and AI use cases across warehouses, lakes, and lakehouse architectures.
Design and maintain scalable data pipelines and integrations for education technology products, ensuring data quality, governance, and security while mentoring teams.
Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Senior Data Engineer builds and modernizes analytics platforms using Microsoft Fabric, Power BI, Python, PySpark, and Delta Lake to migrate legacy systems and enable data-driven decision-making at New Zealand Customs.
Senior Data Engineer builds and modernizes NZ Customs’ analytics platform using Microsoft Fabric, Power BI, PySpark and Delta Lake to replace legacy ETL systems.
Designs and builds scalable data pipelines and Lakehouse models using Microsoft Fabric, Delta Lake, SQL, and PySpark to modernize analytics and reporting for NZ Customs.
Data Engineer specializing in Databricks to design and implement scalable data architectures for clients in healthcare, finance, and government, using Delta Lake, Unity Catalog, and PySpark.
Design and maintain data pipelines and trusted data products using Snowflake, Databricks, SQL, and Python to power analytics and decision-making across a university.
Pre-sales engineer at Databricks who builds demos, runs Spark workshops, and advises customers on data-lakehouse architectures to turn their analytics challenges into actionable solutions.
Own and evolve Mirka’s Azure Databricks lakehouse platform, setting standards and enabling scalable analytics and AI initiatives.
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Design and build scalable Databricks Lakehouse pipelines using Spark, SQL, Python, and Scala to deliver robust ETL solutions and optimize data workloads.
Design and implement Databricks Lakehouse pipelines, optimize Spark workloads, and lead client workshops using SQL, Python, and Scala.
Build and own data pipelines that unify Oura’s membership data into a reliable single source of truth, integrating subscription billing, CRM, and app engagement systems.
Design and build Fabric-based data pipelines and BI solutions using OneLake, Lakehouse, and Synapse Data Engineering with Python, PySpark, SQL, and Power BI.
Design, build, and maintain cloud-based data platforms (Azure/AWS, Lakehouse, Databricks) and pipelines, using SQL, Python, and ETL tools to support analytics and reporting for enterprise clients.
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.
Build and maintain production-grade data pipelines and cloud data platforms for clients across industries, modeling datasets for analytics and AI while ensuring data quality and security.
Build and maintain scalable data pipelines, models, and platforms using cloud tools (Azure/GCP/AWS), Snowflake, dbt, and Databricks to help clients turn data into business value.
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