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Lead a team to design and build scalable, secure cloud data platforms on Azure and/or GCP, using Spark, Databricks, and managed services while coaching engineers and driving DataOps/FinOps practices.
Build and maintain scalable data pipelines and warehousing solutions using Databricks, Spark, and AWS tools to support HR analytics and business intelligence at a global financial firm.
Design and operate AWS cloud infrastructure for scalable data platforms, AI/ML services, and web apps that power a global digital lottery system.
Senior Salesforce developer building and maintaining Marketing Cloud and Data Cloud integrations, automating email campaigns, and ensuring GDPR-compliant data flows.
Build and maintain CI/CD pipelines, Kubernetes/OpenShift clusters, and big-data platforms (Hadoop, Spark, Kafka) to automate deployments and ensure scalable, secure data processing.
Build and maintain scalable ETL pipelines and data warehouses using Python, PySpark, and SQL to process structured, semi-structured, and unstructured data for analytics and reporting.
Design and govern enterprise-scale AI-ready data platforms using Azure Databricks, Snowflake, and Delta Lake to enable analytics, GenAI, and ML workloads.
Designs and maintains APIs, databases, and data pipelines for the Tucson Police Department, ensuring secure data exchange and analytics-ready architectures.
Build and optimize cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Lead the design and delivery of a cloud-native data platform on GCP, mentoring engineers and setting standards for scalable, compliant data pipelines and governance.
Designs and governs enterprise-scale data platforms using Azure Databricks, Snowflake, and Lakehouse architecture to enable AI, analytics, and GenAI workloads.
Build and optimize cloud-native data platforms using Microsoft Fabric, Azure Synapse, and Python to power scalable analytics and data pipelines for a product-focused company.
Senior engineer building scalable data pipelines and cloud solutions for healthcare analytics using Python, Spark, and Azure.
Lead a team to design and modernize data architectures for JPMorganChase’s compliance and governance applications, consolidating systems into a cloud-based data lake and enforcing standards across 100+ apps.
Build and maintain a global KYC and risk-assessment data platform using Python/Java, Databricks, Spark, and cloud-native tools to deliver secure, scalable data pipelines at enterprise scale.
Build and maintain automated test frameworks (Java, Selenium, JUnit, Jenkins) to validate software and data pipelines for airport IT systems, ensuring reliability and rapid feedback in a high-volume environment.
Designs and governs enterprise-scale data architectures for a government client, focusing on Snowflake, DBT, and modern data platforms while establishing governance, modeling standards, and AI-assisted delivery frameworks.
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and business success. You…
Design and modernise a cloud-based data platform for a large online gambling operator, focusing on lakehouse architectures, Spark pipelines, and AI-driven personalisation while ensuring regulatory compliance.
Build and scale Kotak’s next-gen AWS-based data lakehouse, designing pipelines, ETL workflows, and governance for a 100+ member team revamping the bank’s entire data platform.
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