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Build and maintain scalable data pipelines in BigQuery using dbt/Dataform to feed marketing and product analytics dashboards.
Builds and optimizes cloud-based data pipelines in Databricks and Azure, using Python, SQL, and Spark to process structured and unstructured data for global clients.
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Builds and maintains scalable Python-based data pipelines and ETL processes for a global bank’s new microservices architecture, ensuring reliable data flows and integration with existing systems.
Build and optimize ETL/ELT pipelines in Google Cloud, transforming raw data into reliable datasets for analytics using BigQuery and Data Vault modeling.
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Builds and maintains a modern data warehouse using Microsoft Fabric, writes Python/PySpark and T-SQL pipelines, and collaborates with PowerBI teams to deliver analytics.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Designs and builds Snowflake-based data pipelines and warehouses for a commercial bank, using Python, SQL, and ETL/ELT workflows.
Build and maintain Azure Data Factory pipelines, orchestrate ETL/ELT workflows, and support Azure SQL/Synapse data warehouses for enterprise clients.
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Senior Data Engineer builds and evolves an open-source data platform using Kubernetes, Docker, and query engines, while mentoring peers and shaping data pipelines and governance standards.
Build and maintain cloud-based ELT/ETL pipelines, orchestrate Docker/Kubernetes deployments, and automate CI/CD for a global scientific intelligence team using Python, SQL, and AWS/Azure.
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines using Python, PySpark, SQL, and AWS services to deliver reliable, high-performance data solutions for global clients.
Build and maintain scalable data pipelines and streaming platforms using Python, Spark, and cloud tools to power analytics and ML systems.
Builds and improves UI for Cloud Composer and Dataform, a managed data orchestration and analytics workflow service, using JavaScript/TypeScript and collaborating with backend teams.
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
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