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Leads agile teams through Teradata decommissioning and cloud migration projects, facilitating Scrum ceremonies and ensuring smooth transitions to modern data platforms.
Senior Data Engineer on a 12+12-month contract for a Federal Government client, responsible for hands-on development, data modelling, ETL processes, and technical leadership across enterprise data warehouses using AWS, SQL, and Python.
Data Analyst on RBC's Next Best Action platform, developing and maintaining data-driven solutions in Python, SQL, and SAS while collaborating with technology and business partners across the bank.
Data Engineer for a 12-month contract, building data warehouse components on Teradata, creating Power BI dashboards, using SQL (especially MSSQL), Hive, and other tools. Core technologies include Teradata, Power BI, SQL, and Hive.
Analyzes facilities data to optimize operations, develops reports/dashboards, and supports strategic decision-making for Southwest Airlines' corporate facilities. Core tools: SQL, Python, R, Alteryx, Tableau, Excel.
Designs and oversees scalable data pipelines, pipelines, and integrations for enterprise planning, leveraging SQL, Python, PySpark, and cloud/data tools to optimize data flows and ensure high-performance data processing.
Designs and builds scalable data pipelines and architectures on AWS/Spark/Scala, focusing on ETL, big data, and GenAI integration to support business analytics and AI-driven solutions.
The Principal Engineer will lead end-to-end technology solution delivery for commercial lending products, utilizing Java, Spring Boot, Angular, and AI technologies. This role involves architectural decision-making, code reviews, and collaborating with agile teams to ensure platform stability and innovation.
Design and maintain cloud-based data pipelines, warehouses, and lakes for a large bank, ensuring secure, accurate, and high-velocity data processing and enabling analytics and ML workflows.
The Advanced Analyst II develops and applies advanced machine learning and statistical models to solve complex business problems across retail operations, merchandising, and supply chain. The role involves partnering with stakeholders to deliver data-driven insights using technologies like Python, Azure, and Power BI.
Data Engineer at ASN Bank building ETL pipelines, data models, and dashboards for the mortgage portfolio using SQL, Teradata, Tableau, Python, and Snowflake.
A remote Java Full Stack developer responsible for designing and building scalable, data-intensive applications using Java, Spring Boot, React/Angular, Postgres, Docker/Kubernetes, and cloud-native technologies like GCP.
The Staff Data Engineer at Commonwealth Bank will design and build scalable cloud-native data products, platforms, and pipelines that power customer engagement, CRM experiences, operational intelligence, and AI-enabled solutions. They'll work with emerging Generative AI and agentic AI capabilities, influence data architecture, and establish engineering standards across Business Banking.
Tests and validates ETL/data pipelines for commercial lending/loan systems, ensuring data accuracy and pipeline integrity. Uses SQL/Teradata, Informatica, Python, and Agile/Waterfall methodologies in a fintech environment.
Leads AI/ML projects for a global consulting firm, designing predictive models, ETL workflows, and data pipelines to solve high-stakes business challenges (e.g., cost reduction, revenue growth) using Python, SQL, and cloud tools like AWS/Azure.
Lead AI/ML projects for a global consulting firm, building predictive models, ETL pipelines, and dashboards to drive client outcomes in high-stakes business scenarios.
Builds and maintains scalable data pipelines, transforms raw data into usable insights, and optimizes data workflows using Python, SQL, and big data tools like Spark/PySpark, with a focus on transitioning to Databricks.
Data Analyst at CapTech designs data models, builds ETL pipelines, and visualizes insights to help clients solve business problems using SQL, Python/R, and modern BI tools.
Performs 24/7 first-line monitoring and incident response for Teradata and Cloudera environments, using SQL and Linux to validate data and troubleshoot batch workflows.
A Google Cloud Consultant advises clients on data analytics and big data solutions, designing distributed systems and migrating on-premise workloads to Google Cloud while collaborating with executives and technical teams.
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