Medical Analyst analyzing engagement effectiveness with advanced analytics solutions aligned with Medical business strategies. Collaborating with cross - functional teams to provide insights for US Medical Affairs.
About the role
- GCP Data Lead overseeing enterprise-grade data solutions for a global SAP consulting client. Mentoring engineers and managing data integration between SAP and GCP environments.
Responsibilities
- Provide technical direction, code reviews, and support for complex data solutions.
- Lead and mentor a team of data engineers in building ETL/ELT pipelines for SAP and other ERP sources into GCP
- Set engineering standards, best practices, and coding guidelines.
- Collaborate with project managers, provide the estimates, track the progress, remove roadblocks to ensure timely completion of work.
- Collaborate with BI teams, Data analyst to enable reporting solution.
- Design conceptual, logical, and physical data models to support analytics and operational workloads.
- Implement star, snowflake, and data vault models for analytical systems.
- Design data solutions on GCP using BigQuery, Cloud Storage, Dataflow, and Dataproc.
- Implement cost optimization strategies for GCP workloads.
- Design and orchestrate ETL/ELT pipelines using Apache Airflow (Cloud Composer), and Dataflow
- Integrate data from multiple systems including SAP BW, SAP HANA, Business Objects using tools like SAP SLT, or Google Cortex Framework.
- Develop complex SQL queries for analytics, transformations, and performance tuning.
- Build automation scripts and utilities in Python.
- Lead on-premise to cloud migrations for enterprise data platforms [SAP BW/Bobj]
- Manage migration of SAP datasets to GCP ensuring data integrity and minimal downtime.
- Implement CI/CD pipelines for data workflows using GitHub Actions, Cloud Build, and Terraform.
- Apply infrastructure-as-code principles for reproducible and scalable deployments.
Requirements
- 8+ years of proven experience with GCP BigQuery, Composer, Cloud Storage, Pub/Sub, Dataflow
- Min 2-3 years of leadership experience in mentoring small to mid-size data engineering team
- Strong SQL and Python programming skills.
- Hands-on experience with SAP data extraction, modeling, and integration from ERP, BW, and/or HANA systems.
- Knowledge of data governance frameworks and security best practices.
- Familiarity with DevOps tools for data.
- Understanding of Google Cortex Framework for SAP-GCP integrations.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
EU
Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Senior Data Scientist developing Asset Management Analytics for Queensland Rail. Contributing to organisational KPIs and enhancing asset performance through data analysis and modelling.
Senior Data Science Advisor providing data for business decisions and developing solutions. Role involves advanced analytics in the property and casualty insurance industry with a focus on model development.
Cientista de Dados Sênior na Deroyque, integrando a equipe e dominando o ciclo completo de Machine Learning. Transformando dados em decisões inteligentes em ambiente híbrido.
Head of Data leading the data function at Stay22, enhancing data governance and monetization strategies.
Data Scientist at LawDepot optimizing the Checkout experience through data - driven decisions. Involves statistical analysis, experiment design, and collaboration to enhance revenue growth.
Data Scientist leveraging data insights and machine learning for operational efficiency and innovation. Collaborate with stakeholders to drive impactful strategic decisions.
Data Scientist at Sun Life leveraging data and analytics to support client - centric solutions. Collaborating with business units to apply advanced analytics and drive measurable value.
Principal Data Scientist at Early Warning overseeing analytic model development for fraud detection and risk assessment. Leading a team in a dynamic, data - rich environment with collaboration across departments.