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Lead a team to design and build scalable data architectures using Databricks, Apache Spark, and cloud platforms to power analytics and modern applications for a global financial services firm.
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Build and maintain scalable data pipelines using Databricks, Apache Spark, Kafka, and cloud platforms, while mentoring teams and sharing best practices.
Build and maintain data pipelines and MLOps infrastructure for marketing AI models using Python, PySpark, SQL, Docker, and AWS.
Build and maintain robust data pipelines on Databricks using PySpark and Spark SQL, collaborating with teams to gather requirements and automate data flows in an Agile environment.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines using Oracle, AWS Redshift, S3, Glue, EMR, and PySpark to process and warehouse large-scale data for analytics and reporting.
Build and maintain enterprise-scale data pipelines and AI solutions using SQL, Python, Databricks, and Azure services to power analytics and generative AI for a real-estate-focused company.
Designs and builds scalable data pipelines using AWS Redshift, Oracle SQL/PL-SQL, and Python to power analytics and BI platforms.
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to support smart factories and connected products.
Build and maintain scalable data pipelines, warehouses, and ETL/ELT workflows using Python, SQL, and cloud platforms to power analytics and AI products.
Build and maintain a scalable data platform using PySpark/Python and Azure, integrating CRM/ERP/SaaS data into a lakehouse architecture for reliable analytics and Power BI reporting.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Designs and builds scalable data pipelines and APIs for healthcare applications using Python, FastAPI, PySpark, and AWS services.
Design and build enterprise-scale data pipelines and warehouses, transforming raw data into clean, standardized formats for analytics and reporting using Azure, SQL, Python, and Databricks.
Senior Data Engineer builds and maintains scalable data platforms using Python, PySpark, and SQL in hybrid role, ensuring secure, high-quality data solutions for enterprise clients.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Design and build cloud-based data platforms and ETL pipelines for clients using Microsoft Fabric, Databricks, Snowflake, SQL and Python.
Build and maintain ETL pipelines, data models, and dashboards that power Robinhood’s analytics and regulatory reporting, using SQL, Python, Spark, and Airflow.
Build and maintain data pipelines using PySpark and AWS for a banking project, supporting Brazil-time operations from 13:00–21:00.
Design and implement Azure-based streaming-to-batch data pipelines using Data Factory, Data Lake Storage, and PySpark/Python.
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