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Build secure, scalable data pipelines and platforms for intelligence workflows, integrating classified and geospatial data using Python, Spark, and AWS in regulated environments.
Design and implement data governance frameworks and catalogs for Mars’s supply-chain analytics, using Azure tech (Synapse, Databricks, Purview) to standardize and democratize data across teams.
Build and maintain large-scale data pipelines and curated datasets for a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases at a global bank.
Design and implement data architectures for genomic research and clinical applications, integrating healthcare data solutions in a government-led initiative.
Build and maintain scalable data pipelines and cloud infrastructure on Google Cloud, ensuring data quality and enabling analytics for clients.
Design and maintain data models, ETL pipelines, and warehouses in Python/SQL to support audit and risk analytics for financial clients.
Senior Java developer leading the modernization of a high-throughput capital-markets workflow engine, integrating AI/LLMs and optimizing distributed Java systems for millions of daily transactions.
Designs and maintains scalable AWS-based data pipelines using SQL, Spark, Kafka, and Python to process large datasets and deliver analytics for business insights.
Build and maintain scalable data pipelines on AWS, using Hadoop and Spark to deliver analytics that power business decisions.
Senior Data Engineering Consultant builds and optimizes data pipelines using PySpark and Databricks, delivers Power BI dashboards, and advises clients on cloud data solutions across Azure, AWS, and GCP.
Consultant builds and delivers SAS-based data pipelines and analytics solutions for clients, using SQL, cloud platforms, and BI tools.
Data engineering consultant designs, builds, and optimizes data pipelines and analytics solutions using Databricks, PySpark, and Power BI for enterprise clients.
Data Analyst role in Glasgow for a fintech client; daily tasks include Python, PySpark, SQL, and data profiling to support banking systems and MDM tools.
Build and maintain cloud-based data pipelines and warehouses using Azure Databricks, Snowflake, and AWS services to enable AI/ML-driven insights for enterprise clients.
Design and build enterprise-scale Generative AI systems using LLMs, RAG, and vector databases; lead cross-functional teams to deploy models like GPT-4 and Llama3 on AWS/Azure.
Build and maintain cloud-based data pipelines and AI-ready architectures, ensuring clean, accessible data for analytics and Gen-AI projects.
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.
Business Analyst for a banking API platform, documenting requirements, analyzing data flows, and bridging business needs with development teams in an Agile environment.
Industry/Sector Not Applicable Specialism Product Innovation Management Level Manager Job Description & Summary The Opportunity Join our Acceleration Center India and help shape the future of business for our…
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