Eurofins seeks a Data & AI Platform Engineer to build data pipelines and automation foundations for digital laboratory transformation in Bangalore. The role combines data engineering, system integration, and emerging AI capabilities to modernize lab operations and enable data-driven insights.
Responsibilities
Design, develop and maintain data pipelines connecting laboratory, IT and enterprise systems
Build data lake/lakehouse architectures and transform raw laboratory data into analytics-ready datasets
Automate data preparation and refresh processes supporting Power BI and management reporting
Support ML use cases such as anomaly detection and lab performance analysis by preparing datasets
Identify and digitize paper-based processes, eliminate manual data entry, and implement workflow automation
Requirements
Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, or related field
5–10 years experience in data engineering, analytics engineering, or integration engineering
Strong SQL and relational database expertise
Strong Python skills for data processing, automation, and integration
Proven experience designing and maintaining ETL/ELT pipelines
Experience with cloud data platforms, data lake, or lakehouse architectures
Proficiency with Power BI including data preparation and semantic modeling
... purpose - The Data Platform Engineer Manager is responsible for designing, building, operating, and continuously improving enterprise‑scale , Databricks based data mesh platform at Syngenta. - This role focuses on platform reliability, scalability, security, and enablement of data engineers, analytics, and data science teams ...
Thermo Fisher Scientific seeks a Senior Data Platform Engineer with 10+ years of analytics platform experience and 5+ years of hands-on Databricks expertise. This role involves designing, building, and operating secure, scalable data platforms that deliver reliable data, AI, and analytics solutions across the organization ...
... replication, or CDC. - Experience supporting production data platforms. - Exposure to CI/CD, DevOps, and deployment automation. Good to Have: - Experience with Azure data services and data engineering platforms. - Knowledge of ETL/ELT tools and data pipeline management. - Exposure to other cloud data platforms and automation technologies. ...
Job Description :- Architect and drive large-scale distributed systems, data platforms, and backend services that are highly available, cost-efficient, secure, and extensible.- Establish platform vision and evolve foundational frameworks with multi-tenant, self-serve, and platform-first thinking.- Design for scale and resilience ...
... enterprise-scale data platforms. - Strong understanding of modern data architecture, data engineering, and analytics ecosystems. - Experience with cloud-native data platforms and services in Google Cloud Platform, AWS, or Azure. - Experience with data warehousing, data lakes, lakehouse architectures, and large-scale data ...
... data engineering experience to build and operate the data pipelines and services behind our platforms. You will own ingestion, transformation, and serving of data from diverse sources, keep it reliable and well-governed, and work closely with product, platform, and programme teams to deliver data systems at scale. This ...
About the Role : We are looking for an experienced Data Engineer to join a global pharmaceutical analytics program focused on building modern cloud-based data platforms and enterprise reporting solutions. You will design, develop, and maintain scalable data pipelines and analytics solutions using Microsoft Azure https://jobeax.com/link/wb2VFIq1pi29H9AM ...
... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...
... Hadoop ecosystem technologies for distributed data processing and storage.- Integrate data from multiple sources including databases, APIs, files, and streaming platforms.- Build and manage data orchestration workflows using Azure Data Factory (ADF).- Optimize Spark jobs, Databricks clusters, and data pipelines for performance ...
... cost model, and establish a governed, reusable data foundation that powers reporting, analytics and AI across the organisation.EXPERIENCE:At least 7 years in data engineering - data platform roles, with at least 4 years of hands-on Snowflake engineering and architecture, including at least 2 years in an architect or technical ...