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Leads a team managing data engineering operations, production support, and cloud-based data pipelines/warehouses (Snowflake, AWS Glue) while migrating legacy Oracle/MS-SQL/Hive workloads and improving data quality/automation.
Designs and implements scalable, secure enterprise data platforms using Databricks, Azure, and cloud technologies to enable analytics and business decision-making. Mentors teams and establishes architectural standards.
Lead CDP implementation planning and delivery for a financial services company, managing backlog and roadmap using Agile. Collaborate with engineers to integrate Adobe Experience Platform and Azure Data Lake.
Leads and coordinates projects (e.g., data lake and CRM migration) from start to finish, ensuring on-time, on-budget delivery while collaborating with stakeholders and managing risks.
The Data Engineer will design, build, and maintain scalable data pipelines and infrastructure for Singapore government agencies. The role involves data extraction, transformation, and integration using cloud-based tools and big data frameworks.
The Senior Business Data Analyst acts as a bridge between business stakeholders and engineering teams to design and operationalize scenario planning and predictive modeling frameworks. The role involves translating business requirements into technical logic for data platforms to support enterprise-wide decision-making.
Lead a team building secure, scalable AWS data platforms using Python, Java, and Terraform to deliver trusted AI/ML and data solutions for JPMorganChase’s Corporate Sector.
Principal Software Engineer at JPMorganChase building and scaling a global KYC and risk data platform, leading AI-driven engineering practices and agentic systems in a regulated financial environment.
Build and maintain data pipelines, ETL/ELT processes, and cloud-based data lakes/warehouses using Azure and Databricks to deliver clean, secure data for analytics and AI.
Design, develop, and maintain scalable data pipelines and workflows on Azure Databricks using PySpark, Azure Data Factory, and Apache Spark for advanced analytics and data engineering.
The Principal Engineer will lead the design and development of complex systems, focusing on C# and .NET within a Windows environment. The role involves defining architectural standards, mentoring team members, and improving system performance through new technologies.
Designs scalable MERN-based solutions and leads engineering teams to deliver high-performance, cloud-native platforms for media clients, balancing technical excellence with business needs.
The Principal Data Engineer will lead the design and evolution of ASX's large-scale data platform, focusing on data lake and data mesh architectures using AWS, Apache Spark, dbt, and Airflow. The role involves building reusable frameworks, driving DataOps adoption, and collaborating with cross-functional teams to ensure scalable and compliant data solutions.
Designs and maintains scalable data pipelines and lakehouse architectures on AWS, specializing in PySpark, ETL/ELT workflows, and serverless automation for fintech/regulatory data.
The Data Engineer will design, build, and maintain scalable cloud-based data pipelines and ETL/ELT frameworks using Snowflake, DBT, AWS, Python, and SQL. The role involves developing data models, ensuring data quality, and implementing security and governance standards for enterprise data solutions.
Senior Data Engineer leading data engineering delivery for data lakes, platform modernization, and reporting solutions at Manulife in Hong Kong, using Azure Cloud, Databricks/Spark, and AliCloud big data tools.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Build and govern Legrand India’s data strategy, modern data architecture, and analytics solutions to drive insights for manufacturing, supply chain, and sales using Azure, Fabric, Power BI, and Gen AI.
Lead enterprise data strategy, BI solutions, and analytics frameworks at Legrand India to support digital transformation. Core technologies include Microsoft Fabric, Azure, Power BI, SQL, and Python/R.
Lead the engineering efforts of an 'Agentic Factory' team, designing and deploying production-grade GenAI/ML solutions, multi-agent workflows, and MLOps pipelines on GCP/Vertex AI with hands-on Python development and team mentorship.
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