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Design and validate data pipelines and GenAI solutions on Databricks using Python, Spark, and SQL. Manage model risk and data governance, implementing MLOps/LLMOps practices in a hybrid environment.
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.
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.
Junior Data Engineer helping build and maintain scalable ETL/ELT pipelines and database infrastructure to support AI and advanced analytics solutions, primarily using Python and SQL.
The Senior Quality Assurance Engineer ensures data integrity and quality across enterprise platforms by performing API testing, ETL validation, and implementing automated test frameworks using Java or Python. The role involves collaborating with data engineers to support governance initiatives and CI/CD pipelines.
The Senior Data Analytics Engineer will build and maintain data pipelines into DOMO, develop dashboards for marketing performance, and optimize data models using SQL. The role focuses on enabling marketing measurement frameworks and ensuring data quality within a banking environment.
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.
The Data Architect will lead the design and implementation of enterprise-scale analytics solutions and data portfolios at Baxter. The role involves utilizing AWS, Snowflake, and Python to build data pipelines and reporting systems while collaborating with cross-functional teams to drive digital transformation.
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 designing and building scalable data pipelines, ETL/ELT solutions, and distributed data processing applications on GCP for Sysco's foodservice operations.
Senior Data Engineer builds and maintains scalable ETL/ELT pipelines and lakehouse datasets to power analytics, ML, and business applications at Hertz.
Build and maintain data pipelines, ETL processes, and BI dashboards using Databricks, Power BI, and Azure for an edtech client.
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.
Job Description: Data & Reporting Application Engineer / Senior Software Engineer with a strong focus on SQL, Databricks, Power BI, automation, and application support. Essential Job Functions Design, develop,…
Design and implement scalable data architectures and ETL pipelines using Java, Spark, and cloud tools to support risk and regulatory reporting in a large bank.
Design, develop, deploy, and maintain data pipelines, data warehouses, and DataOps infrastructure using big data tools (Spark, Airflow, Hive) and programming languages (Java, Python, SQL) for an aerospace, defence, and security company.
Principal Engineer designs and builds scalable data pipelines, cloud data warehouses, and modern data architectures to power analytics and business decisions using SQL, Python, and cloud platforms.
Principal engineer architecting, building, and maintaining data pipelines and relational database integrations for enterprise identity and workforce data operations at Verizon, using SQL Server/Oracle/PostgreSQL, Python/C#/Java, and AI-assisted tools like Claude.
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