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Senior backend engineer building high-throughput data pipelines in Go to power real-time product recommendations for ecommerce brands using Bigtable, BigQuery, and Pub/Sub.
Senior backend engineer building high-throughput event pipelines and dual-store data infrastructure in Go to power real-time product recommendations for ecommerce brands.
Build and maintain cloud infrastructure and CI/CD pipelines for a real-time AI market intelligence platform serving financial institutions, using AWS, Docker, and Pulumi.
Senior backend engineer building high-throughput data pipelines in Go to power real-time product recommendations for ecommerce brands, using Bigtable, BigQuery, and Pub/Sub.
Build and maintain a high-performance pet-products marketplace platform using Java backend and React frontend, focusing on scalable distributed systems and low-latency APIs.
Build and maintain AWS infrastructure with Terraform, automate CI/CD pipelines, and ensure uptime for maritime data services using DevOps best practices.
Senior backend engineer builds and operates high-throughput data pipelines and dual-store architectures in Go to power real-time product recommendations for e-commerce brands.
Senior DevOps Engineer designs and maintains scalable cloud infrastructure on AWS, automates deployments with Terraform, and mentors teams on best practices for high-traffic PHP systems.
Senior DevOps Engineer designs and manages secure, scalable AWS cloud infrastructure for government clients, automating CI/CD pipelines and enforcing security best practices.
Lead the migration and optimization of legacy data systems to AWS, focusing on SQL, MySQL, Postgres, and Redshift for SaaS analytics and governance.
Build and maintain scalable data pipelines and analytics for cybersecurity at a global bank, using Python, SQL, Spark, Kafka, and cloud platforms.
Leads data engineering teams to build AI-driven pipelines and data foundations for an energy-trading firm using Databricks, PySpark, Python, and Azure.
Design, migrate, and optimize SQL Server and cloud data platforms (Azure/AWS) for a bank, building ETL pipelines, data warehouses, and HA/DR solutions while ensuring security and compliance.
Design and deliver scalable data platforms and pipelines for clients in regulated sectors like banking and life sciences, enabling AI and analytics use cases.
Design and build scalable data platforms and AI-driven architectures for enterprises, using AWS/Azure services, Python, and modern data patterns to enable AI transformations.
Build and own a scalable data platform for regulatory reporting in a fast-growing fintech, integrating batch/streaming pipelines and microservices to submit accurate outputs to regulators.
Build and maintain cloud data pipelines on AWS, transform data in Snowflake with dbt and PySpark, and deliver analytics for regulated industries like banking and healthcare.
Design and build a cloud-native data platform for a SaaS scale-up, focusing on AI-ready datasets, semantic modeling, and scalable pipelines to power analytics and LLM-driven tools.
Build secure, scalable data pipelines and platforms for government clients, transforming sensitive data into trusted assets for analytics and AI using Python, SQL, and cloud tools.
Lead a team building and maintaining scalable data pipelines using AWS (S3, Athena, Redshift, Glue) and Python/Java to integrate diverse data sources for government analytics and reporting.
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