An individual with the ability to design and develop data Integrations to deliver Enterprise BI Data Marts and BI Semantic Data layer(s). This role required strong technical skills in platforms such as RDMBS, MPP Platforms (Teradata), Hadoop Datalake and Azure cloud with ability to design and develop end to end data integration pipelines.
Compensation
Base Pay Range $76,600.00 - $138,500.00. Exact compensation may vary based on skills, experience, education, and location.
Responsibilities
Design and develop data integrations to deliver Enterprise BI Data Marts and BI Semantic Data layer(s)
Manage multiple projects within the team and support others within the DAS organization
Improve data processes, technology infrastructure and reporting/analytical services
Work with business stakeholders to design, develop data products solution to enable insights
Experienced Spark, HDFS, and Kafka Administrator/Engineer to manage, support, and optimize enterprise-grade big data platforms in a Cloudera environment.
Responsibilities
Deploy, configure, monitor, tune, and troubleshoot Apache Spark environments and workloads
Manage and support HDFS storage, including capacity, performance, availability, permissions, replication, and troubleshooting
Deploy, configure, manage, monitor, and troubleshoot Apache Kafka clusters, topics, producers, and consumers
Monitor platform connectivity, health, capacity, and performance using tools such as Grafana, Splunk, and relevant platform management tools
Implement and manage security configurations, including Kerberos, SSL/TLS, authorization policies, HDFS ACLs, and enterprise IAM/LDAP integrations
Support Target's leadership team with critical data analysis to drive profitable decisions and scalable decision-making in the modern retail market.
Responsibilities
Translate business problems into well-defined analytical questions and structured approaches
Support scenario, decision, and action modelling to evaluate business trade-offs and inform recommended actions
Partner with Target business stakeholders to understand priorities and roadmaps, validate analytical requirements, and present insights and recommendations with clarity and impact
Develop and deliver analytical and AI-driven solutions (including GenAI, Agent, and Agentic approaches) that enable decision support, forecasting, optimization, and automation
Apply advanced analytics techniques, including causal, predictive, and prescriptive analytics, to drive deeper understanding of business levers and inform optimal actions
Requirements
B.Tech / B.E.
Masters in Statistics/Econometrics/Mathematics equivalent
BA/BS in a quantitative degree – Math, Statistics, Econometrics, Data Sciences, Computer Science
Lead development and maintenance of Bloomberg’s Hadoop infrastructure, ensuring high availability, scalability, and performance for large‑scale data applications.
Advance how tenants from multiple product domains leverage Hadoop Infrastructure services to meet their goals
Provide and improve our capabilities to migrate and support a massive data and compute footprint to newer versions
Improve our tenants' user experience when securely interacting with powerful underlying infrastructure frameworks
Understand and improve the usability, reliability, and scalability of open‑source Apache Hadoop services to optimize for the needs of Bloomberg application teams
Requirements
A degree in Computer Science, Engineering or similar field of study or equivalent work experience
Nice to have: Experience working with open‑source software/community
Nice to have: Experience with distributed systems architecture and system design
Apply advanced actuarial and analytical skills to support CMHC’s modelling initiatives, including model development, validation, and interpretation of model results to inform decision making and enhance risk management.
Our salaries generally range from $ 104180.28 to $ 130225.36 and are based on qualifications and experience.
Responsibilities
Validate a wide range of models (actuarial, financial, pricing, risk and AI — including ML, LLM and generative AI) by assessing their assumptions, methodologies and risk levels.
Ensure regulatory and governance compliance, including adherence to CMHC’s Model Risk Management Policy, OSFI’s E-23 guideline, IFRS 17 standards and regulatory capital frameworks.
Apply rigorous quantitative methods and structured monitoring, including econometrics, economic capital modelling, and statistical analysis (Python, R, SAS), while establishing performance metrics, comprehensive documentation and change management controls.
Co-develop and maintain quantitative models used for underwriting, pricing, stress testing, capital adequacy, business analytics and automated tools, ensuring full lifecycle management in accordance with model risk management policies.
Provide technical and analytical expertise.
Requirements
Postgraduate degree or higher in quantitative disciplines such as finance, mathematics, economics, statistics or actuarial sciences
AssociateEXL · Pune, India
Senior Specialist, ModellingCanada Mortgage and Housing Corporation (CMHC) · Ottawa, Canada+5 more