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Lead the design and development of an open, scalable data platform, focusing on data strategy, quality, and security for a government agency.
Lead Data Engineer designing and building a modern Azure-based data platform using Medallion architecture, ensuring quality, security, and reusability while guiding teams.
Lead role building and scaling a modern data platform using Databricks and robust pipelines, ensuring high data quality and collaborating with engineers and data scientists.
Lead a modern, open-source data platform for Norway’s development agency, building scalable pipelines and governance to drive data-driven decisions in global aid and sustainability efforts.
Lead the design and implementation of a modern, scalable data platform for Norway’s development agency, using Databricks, Azure, and Medallion architecture to ensure high-quality, secure data pipelines and insights for global aid decisions.
Lead the design and implementation of a province-wide health data governance framework for New Brunswick’s Clinical Information Solution, ensuring secure, compliant, and ethical use of health data across the public healthcare system.
Lead the design and modernization of enterprise data platforms and cloud-native solutions for a travel-focused company, guiding architecture and mentoring teams.
Leads implementation and delivery of data governance tools (Alation, Profisee) and coordinates between stakeholders, vendors, and tech teams to ensure smooth go-live and BAU transition.
Lead the product strategy and execution for Chase’s Trust & Security data infrastructure, ensuring robust protection and compliance for customer data.
Design and build end-to-end data architectures on Google Cloud, implement ETL/ELT pipelines with dbt and Cloud Composer, and mentor junior engineers while integrating GenAI services.
ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by…
We are seeking a senior, hands-on Data Engineering Lead for one of our clients to oversee enterprise data engineering, platform development, and team mentorship. In this role, you will lead a cross-functional team to…
Lead a data engineering team building ETL/ELT pipelines in Python and SQL, using Spark, with CI/CD and cloud data platforms.
Leads a data engineering team to design, build, and maintain scalable data platforms using Python, SQL, Spark, and Databricks, while mentoring engineers and aligning solutions with business needs.
Build and optimize large-scale data pipelines on Databricks and PySpark, then extend them with LLM evaluation, vector search, and ML model pipelines for AI-powered analytics.
Lead engineering for a secure, scalable KYC and risk data platform, designing AI/ML systems and agentic workflows in Python/PySpark on AWS/Azure/GCP.
Leads architecture and engineering standards for JPMorgan’s KYC and Risk Assessment platform, designing secure, scalable data solutions to support global portfolios.
Design and build batch/streaming data pipelines for telemetry, CMMS, and ERP systems using Azure Databricks to enable predictive maintenance and fleet optimization.
Lead the migration of data systems to AWS and build scalable pipelines using Redshift, PostgreSQL, Python, and SQL while managing secure access for large teams.
Lead a team of data engineers to design, deploy, and maintain GCP-based data platforms and pipelines for a digital-first bank, setting best practices and driving adoption of modern data engineering tools like Kafka, BigQuery, and Kubernetes.
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