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Build and maintain scalable ETL pipelines and real-time data systems on AWS and Databricks for a regulated crypto exchange serving 18M+ users.
Builds and maintains scalable data pipelines and lakehouse architectures to feed AI/ML workloads and analytics, using Spark, SQL, Python, and cloud services like AWS.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Leads design and delivery of cloud-based data platforms using AWS services like Redshift, Glue, and PySpark, ensuring scalable, secure data solutions for analytics and governance.
Design and build scalable, cloud-native data pipelines using Python, AWS (Glue, Lambda, DynamoDB), and SQL for global projects with a US client.
Designs and maintains scalable data pipelines and databases for a real-estate brokerage, using Python, SQL, AWS, and ETL tools.
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Designs and maintains scalable data pipelines using Snowflake, dbt, Airflow, and AWS to power enterprise analytics platforms.
Builds end-to-end data pipelines in Snowflake and AWS, transforming raw data into AI-ready features for an internal AI platform used across marketing and analytics teams.
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Design and maintain scalable data pipelines, ETL/ELT workflows, and data warehouses to transform raw data into actionable insights using SQL, Python, and cloud platforms like AWS/Azure.
Build and maintain AWS and Databricks data pipelines to support global supply-chain analytics, using PySpark, Glue, Lambda, S3, and Redshift.
Build and maintain data pipelines and warehouses to feed analytics and reporting for a pawnshop operator, using SQL, Python, and AWS services.
Builds backend services and APIs in Python/TypeScript that orchestrate LLMs, vector databases, and agentic workflows for an AI-driven infrastructure automation platform.
Build and maintain data pipelines and models for a market-abuse surveillance system using Python, Java, SQL, and AWS tools to process trade, market, and communications data.
y Exp: 7-10years hands on application development, L3 and/or L2+ who is ready to pick up L3 par g)Mid- to- Advanced experience in AWS Cloud (EC2/Lambda, Amazon CloudWatch, IAM, S3, RDS & DynamoDB/MongoDB) in to…
Build and maintain scalable back-end systems for a sports booking platform using PHP, NodeJS, and AWS, ensuring high performance and security.
Designs and builds scalable backend systems and cloud-native solutions on AWS using Node.js/TypeScript, microservices, and GraphQL/gRPC APIs.
Build and maintain scalable backend services in Node.js/TypeScript, design APIs, model PostgreSQL databases, and deploy serverless AWS Lambda functions.
Lead modernization of backend .NET services, migrate observability to Datadog EU with OpenTelemetry, and maintain AWS cloud infrastructure using Terraform and Docker.
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