Data Scientist at Genmab focusing on advanced analytics and machine learning solutions. Partnering with domain experts to embed data - driven decision making in biotech.
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
Data Scientist role at LYNX focusing on data - driven solutions in finance using Python and SQL. Responsibilities include managing knowledge gathering and predictive modeling to address business challenges.
Data Manager at Bromcom, leading data - cleanse and enrichment programmes for marketing and sales. Collaborating with teams to ensure data quality and effectiveness.
Data Scientist developing technology - based solutions for clients in Greece. Collaborating with a team to enhance clients' data ecosystems and business strategies.
Associate Data Science Actuary in a Fortune 200 company focusing on mortality data and innovative modeling solutions. Collaborate with project teams to enhance longevity product development and pricing.
Marketing Operations & Data Lead at Bromcom ensuring data accuracy and supporting marketing strategies. Overseeing data governance and integration with CRM systems for targeted campaigns.
Data Analyst handling big data/analytics projects for U.S. Bank. Integrating data, performing analysis, and providing actionable insights for business decisions.
Customer Support Representative handling UK customer inquiries via phone, email, and chat. Resolving technical issues and maintaining customer records in CRM system with UK business hours.
Pricing Data Scientist at Marshmallow developing insights for pricing strategies using data analysis. Collaborating with teams to enhance pricing initiatives based on data - driven insights.
Data Scientist managing machine learning and AI projects at Brasilseg. Ensuring methodological application and compliance while delivering impactful business insights.