Data Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Data Engineer, are to:

• Participate in and occasionally lead design sessions with Enterprise Data Stewards, Data Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in tangible documentation for data processing, data hierarchies, data storage and solution delivery;
• Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders and apply this knowledge to influence the decision-making process driving business goals;
• Support evaluation of implementing new technologies, like Reltio, Snowflake, LiveRamp or AWS Native, with established products such as Veeva Network, including performing POCs and presenting results to others, with a goal of providing optimal technical recommendations;
• Implement data solutions according to design documentation using a variety of tools and independent from programming languages;
• Collaborate with Product Owners, other engineers and data stewards within the team and across data, technical platforms and product teams on executing and aligning roadmaps, delivery dates and integration efforts;
• Provide ontologies and terminologies for Pharma core areas;
• Hold third party data providers like IQVIA, Veeva Open Data, DRG, IRA, ProMetics, Lash etc accountable for their data deliverables before consumption into Bayer systems and processes;
• Guide and orient small teams of external/internal stewards to shepherd the day to day tasks of pre-mastering, review candidate records business critical data identification, KPIs the measure quality and sharpen the Standard Operating Procedures (SOPs) for stewardship that manage data change request, while building alignment on the data strategy vision.

Relocation as well as visa sponsorship may be available.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Bachelor’s degree with at least six years of applicable business experience;
• Experience in participating in the build and support of MDM, Data Platforms and design principles;
• Experience leading data modeling and architecture design efforts, including designing both logical and physical models for datasets;
• Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc.;
• Experience modeling large datasets in distributed databases such as Snowflake;
• At least two years of experience with Veeva Network;
• Experience providing reliable estimates for large scale projects;
• Experience contributing to open source projects;
• Strong interpersonal skills and desire to work in a highly collaborative environment;
• Familiarity with the relevant industry trends.

Preferred Qualifications:

• Pharmaceuticals, life sciences, bioinformatics or related disciplines;
• Cloud-native solutions, Veeva Network and MDM technologies, such as Reltio;
• Knowledge of machine learning or other data science practices.