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Senior Data Engineer builds and secures scalable data pipelines and platforms for a wealth-management fintech, ensuring reliable analytics and regulatory compliance.
Builds and maintains data pipelines on a modern Lakehouse and AI platform for a global investment bank, focusing on ingestion, transformation, and data quality.
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.
Design and maintain scalable, event-driven data systems for a large marketplace ecosystem using Kafka, CDC, and cloud data platforms like BigQuery or Snowflake.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to support analytics and BI tools like Databricks and Power BI.
Builds and maintains scalable data pipelines for an automotive sales client using Azure Databricks, Python, and Synapse/IICS to support business processes and integrations.
Lead a team to design and build scalable data pipelines using Spark/Scala, Airflow, and cloud platforms, while mentoring engineers and ensuring regulatory compliance.
Lead a team building and optimizing scalable ETL/ELT pipelines in Python using Hadoop, Spark and Splunk to deliver reliable data for HR analytics and reporting.
Builds and maintains automated pipelines to extract, normalize, and validate financial data from SEC EDGAR XBRL filings for modeling and analytics using Python.
Builds and maintains data pipelines and transformations using Python, PySpark, and notebooks for a new UK-focused data product.
Build and maintain backend services and data integrations for a ticketing platform serving sports, concerts, and live events using Go/Python, AWS serverless, and modern data pipelines.
Design and build scalable ETL pipelines and data models using Spark, Scala, and cloud storage (AWS S3, Hive) to power analytics and BI tools like Databricks and Power BI.
Build and maintain data pipelines, warehouses, and governance for an insurance-focused platform using Python, Databricks/Snowflake, and cloud services.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Build and maintain data pipelines, models, and dashboards for enterprise clients using Python, SQL, PySpark, Snowflake, and Databricks.
Build full-stack web apps and data pipelines for an online furniture retailer, using React, Node.js, Python, and cloud services like AWS and Databricks.
Builds and maintains scalable, near real-time data pipelines to ingest, process, and deliver high-quality data products for downstream teams.
Build and deploy production-grade AI agents that automate commercial workflows (sales, CS, ops) using LLMs, data pipelines, and enterprise integrations while enforcing security and governance constraints.
Lead a team to design, build, and run Azure cloud infrastructure for connected safety systems, handling secure device telemetry and crash data pipelines.
Build and maintain scalable backend services for TrendAI Vision One using Go/Python, cloud-native tools, and AI-assisted development to enhance cybersecurity products.
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