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Designs and builds scalable AWS data pipelines using PySpark, Python, AWS Glue, and serverless components, with IaC via Terraform and CI/CD practices.
Build and maintain AWS’s APJ data analytics platform, designing pipelines, data lakes, and ETL processes to power sales insights and business decisions across the region.
Designs and maintains scalable cloud data pipelines and warehouses using SQL, Python, and cloud platforms to enable reliable analytics and business insights.
Build and maintain full-stack web apps using Node.js, Next.js, React, TypeScript, and PostgreSQL for Singapore government agencies.
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
Build and scale a cloud-native data platform in AWS (S3, Iceberg, Spark, Airflow) to process 100M+ objects with sub-500ms latency APIs for a new UK consumer credit bureau.
Build and maintain AWS-based data infrastructure for a manufacturing company using Terraform, Python, PySpark, and AWS Glue to process and validate large datasets.
About the Role We are seeking a highly specialized Senior Data Integration Engineer to design, build, and maintain robust, scalable integrations across a complex enterprise ecosystem. This role focuses on enabling…
Designs and builds AWS-based data pipelines, warehouses, and lakes for analytics and AI use cases, working with SQL, NoSQL, ETL tools, and cloud services.
Build and maintain secure, compliant big-data pipelines on AWS, using Python, PySpark, and Terraform to provision analytics-ready datasets for enterprise reporting and governance.
Designs and builds scalable data pipelines, ETL/ELT processes, and cloud-native data warehouses to support enterprise analytics and reporting using Azure, AWS, or GCP.
Builds cloud-based data platforms and tools to accelerate drug development, using Python, JavaScript/TypeScript, React, AWS, and data engineering stacks like Pandas and Airflow.
Designs and implements data integration and analytics solutions for a financial services firm using Snowflake, AWS S3, and AWS Glue.
REQUIRED TO BE CONSIDERED FOR THIS POSITION YOU MUST HAVE AN ACTIVE TS/SCI W/ FULL SCOPE POLYGRAPH SECURITY CLEARANCE (U.S. CITIZENSHIP REQUIRED) Experience with Python, PySpark and AWS services (Lambdas AWS glue jobs,…
Senior Data Engineer builds scalable batch and real-time data pipelines on a Lakehouse platform using Snowflake, Databricks, AWS, Kafka and Flink to power analytics and AI across a property-tech marketplace.
Build and maintain a Python/PySpark-based data pipeline engine on AWS and Azure, automate CI/CD with GitHub Actions, and develop AI agents for configuration and troubleshooting in a global healthcare biopharma company.
Build and maintain scalable data pipelines and a modern Lakehouse platform using Snowflake, Databricks, AWS, Kafka, and Flink to power analytics and ML across a large real-estate marketplace.
Build and maintain cloud-native data pipelines on AWS, including ETL workflows with AWS Glue, Redshift/Snowflake warehouses, and serverless Lambda functions to power analytics for a mortgage platform.
Build and maintain scalable ETL pipelines and data models in Python and SQL to deliver clean, business-ready datasets for analytics and AI initiatives at a global investment firm.
WHY JOIN US? Evinova is a health-tech business focused on accelerating better health outcomes by advancing digital transformation across the life sciences sector. By combining science-based expertise, evidence-led…
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