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Lead Data Engineer (Data Platform and Cloud)
Lead the rebuild of MiWay’s data warehouse and migrate it to a cloud-native platform, designing scalable ELT pipelines, medallion architecture, and robust data governance for insurance analytics.
Senior Data Scientist
Build and deploy predictive models and AI/ML solutions in Python and cloud platforms to extract insights and guide business decisions.
Hybrid Azure Databricks Data Engineer — Shape Data Platforms
Designs, builds, and maintains data pipelines across on-premise and cloud platforms using Databricks and Microsoft Fabric, ensuring data quality and security.
Cloud Data Engineer
Designs and builds scalable Azure-based data pipelines and cloud-native solutions for a bank, using ADF, Databricks, Synapse, and APIs to enable analytics and AI.
Senior Data Engineer
Lead large-scale data migrations and build scalable cloud pipelines using Scala, Spark, and Kubernetes to transform enterprise data systems.
Data Engineer (Cloud)
Design and build scalable cloud data pipelines and warehouses using Azure, Databricks, and PySpark to turn raw data into trusted analytics-ready datasets for AI and BI.
Data architect
Designs enterprise data architectures for financial services clients, leading cloud migration and AI-ready data platforms using Azure, Databricks, and Snowflake.
Ai & ml data scientist: llms, analytics & bi
Design and deploy AI/ML solutions (LLMs, semantic search, pricing analytics) to improve HR and commercial decisions using Python, MLflow, Databricks, and Power BI.
Databricks ai platform architect - enterprise ai & mlops
Design and govern enterprise AI architectures on Databricks and cloud-native tech, aligning solutions with business goals and leading AI platform evolution.
Senior Data Engineer - Azure Data & Pipelines Lead
Lead the design, build, and governance of enterprise data pipelines and models using Azure Synapse, Databricks, and SQL, while mentoring teams and ensuring data quality, security, and compliance.
AI Data Scientist
Build and deploy voice-focused AI models (NLP/LLMs) to automate customer interactions and decision-making, using Python, TensorFlow/PyTorch, and vector databases.
Senior data engineer
Senior data engineer builds and maintains automated data pipelines, transforms raw data into standardized formats, and designs data models to support analytics and reporting for a global professional services firm.
Senior data scientist (azure data engineering & mlops)
Build and maintain Azure data pipelines and ML systems; engineer scalable data platforms, deploy ML models, and implement MLOps for a 12-month client engagement.
Lead data engineer
Lead a team of data engineers to build and maintain scalable data pipelines and cloud infrastructure, ensuring clean, trustworthy data for analytics and AI-driven workflows.
Azure Data Engineer
Builds and maintains Azure-based data pipelines for a bank using Databricks, PySpark, and Kafka to ingest, process, and report on financial data in real time.
AI Engineer – Agentic AI Applications (CIB)
Build and deploy agentic AI applications (LLM agents, RAG assistants) in Python on Azure to automate workflows and improve decision-making for a fintech firm.
Data Engineer
Designs and maintains petabyte-scale data pipelines and cloud infrastructure for a bank, transforming raw data into governed, low-latency products for analytics and ML using Spark, Databricks, and Azure.
Data Engineer
Build and maintain data pipelines, quality workflows, and dashboards using Python, SQL, Azure Databricks, and Azure DevOps to ensure clean, reliable data for analytics and reporting.
Intermediate Data Engineer
Build and maintain scalable data pipelines using Databricks, Apache Spark, and Azure, automating workflows and CI/CD to deliver reliable, high-performance data solutions.
Machine learning engineer
Senior ML engineer builds and deploys production recommendation engines and AI products on massive gaming datasets using Python, PyTorch, Spark, and AWS.