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The Senior Data Engineer will develop and maintain scalable data models, ELT pipelines, and reporting layers using Snowflake and dbt. The role focuses on integrating SAP MM procurement data to support AI-ready data interfaces and ensuring high data quality and governance.
The Senior Data Engineer will develop and maintain data models in Snowflake, build ELT pipelines for SAP MM data, and ensure data quality for AI-ready datasets. The role involves collaborating with procurement experts and engineers to support data architecture and design decisions.
Lead enterprise data governance strategies, data quality initiatives, and frameworks for customer master data across Salesforce and finance systems while managing teams and collaborating with global stakeholders in Bangalore.
Data Engineer at Thales in Massy defining, modeling, and deploying data architectures for next-generation air surveillance and command-and-control systems using MBSE, UML/SysML, and tools like Capella and Enterprise Architect.
Build and operate production cloud logging, telemetry, and data platform capabilities on AWS/Azure, using IaC (Terraform), CI/CD, and scripting to handle data ingestion, streaming, and search at scale.
Design, build, and operate production-grade data pipelines using AWS/Azure cloud services, Python, and SQL, applying software-engineering practices like CI/CD and IaC to data solutions.
This Data Engineer role involves leading a team to build and maintain robust data pipelines, migrate legacy systems to Snowflake, and optimize cloud infrastructure using AWS Glue, Python, and Spark. The position focuses on BAU operations, production support, and collaborating with stakeholders to ensure data quality and scalability.
Design, engineer, and maintain large-scale security analytics platforms (Splunk, Elasticsearch) and data pipelines to support cyber threat detection, incident response, and investigations at Morgan Stanley Singapore.
Data Engineer designing, building, and operating production-grade ETL/ELT data pipelines across on-premises and cloud environments (AWS/Azure), integrating diverse data sources and delivering trusted datasets for analytics and reporting.
Data Engineer building and maintaining ETL pipelines, data models, and cloud infrastructure (GCP/AWS/Azure) using Python and SQL for a research firm in Singapore.
Hands-on Senior Data Engineer designing and operating scalable end-to-end data pipelines and platform components in on-premise or hybrid environments using Databricks or Snowflake.
Data Engineer building large-scale ETL/ELT pipelines on GCP (BigQuery, Dataflow, Composer/Airflow, Pub/Sub), ensuring data quality and governance, and mentoring junior engineers.
Data Engineer focused on data management and governance—ensuring data quality, implementing data lineage/cataloging with Data Catalog and Looker, and collaborating with data scientists and analysts.
The Senior Snowflake Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT solutions using Snowflake and AWS. The role involves implementing CI/CD pipelines, managing infrastructure as code, and optimizing data models for performance and cost efficiency.
The Data Governance & Security Architect will design and implement enterprise-scale data sharing, security, and governance frameworks using Snowflake and AWS. The role focuses on building metadata, lineage, and privacy architectures to support secure, cross-region data operations.
The Solution Architect will design and lead the implementation of scalable data platforms using Snowflake and AWS. The role involves defining architecture standards, managing data governance, and providing technical leadership for enterprise data engineering and analytics projects.
The Data Engineer provides technical support for infrastructure services, including monitoring, troubleshooting, and documentation. The role involves collaborating with the team to address infrastructure challenges and requires at least two years of relevant experience.
The Senior Data Engineer will design, develop, and maintain scalable ETL/ELT data pipelines and data models using Informatica, Python, and SQL. The role involves leveraging Generative AI tools to optimize data processing and collaborating with cross-functional teams to support large-scale enterprise data initiatives.
The Quantitative Data Engineer will build and optimize high-throughput data pipelines and database schemas to support algorithmic trading systems. The role involves using Python, PostgreSQL, and workflow orchestration tools to manage market data and execution logs while collaborating with researchers and traders.
The Senior Data Engineer will design and maintain scalable data pipelines and models using a modern stack including Snowflake, dbt, and Python to support analytics and ETL workflows. The role involves collaborating with cross-functional teams to optimize data architecture and provides opportunities for technical leadership.
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