Data Engineer

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us.

If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

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

• A staff data engineer designs and leads the implementation of data flows to connect operational systems, data for analytics and business intelligence (BI) systems. Individuals in this role will:

• Recognize opportunities to reuse existing data flows;
• Lead the build of data streaming systems;
• Optimize the code to ensure processes perform optimally;
• Lead work on database management;

• Communicate effectively with technical and non-technical stakeholders;
• Support and host discussions within a multidisciplinary team, with potentially difficult dynamics;
• Be an advocate for the team externally, and can manage differing perspectives.

• Undertake data profiling and source system analysis;
• Present clear insights to colleagues to support the end use of the data.

• Design, build and test data products that are complex or large scale;
• Build teams to complete data integration services.

• Understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage;

• Select and implement the appropriate technologies to deliver resilient, scalable and future‑proved data solutions and integration pipelines;

• Produce relevant data models across multiple subject areas;
• Explain which models to use for which purpose;
• Understand industry-recognized data modelling patterns and standards, and when to apply them;
• Compare and align different data models.

• Design an appropriate metadata repository and present changes to existing metadata repositories;
• Understand a range of tools for storing and working with metadata;
• Provide oversight and advice to more inexperienced members of the team.

• Respond to problems in databases, data processes, data products and services as they occur;
• Initiate actions, monitor services and identify trends to resolve problems;
• Determine the appropriate remedy and assist with its implementation, and with preventative measures.

• Use agreed standards and tools to design, code, test, correct and document moderate‑to‑complex programs and scripts from agreed specifications and subsequent iterations;
• Collaborate with others to review specifications where appropriate.

• Understand the core technical concepts related to the role, and apply them with guidance;

• Review requirements and specifications, and define test conditions;
• Identify issues and risks associated with work;
• Analyze and report test activities and results.

Bayer seeks an incumbent who possesses the following:

• Proficiency in programming language such as Python or Java;
• Experience with Big Data technologies such as Hadoop, Spark, and Kafka;
• Familiarity with ETL processes and tools;
• Knowledge of SQL and No
  
  SQL databases;
• Strong understanding of relational databases;
• Experience with data warehousing solutions;
• Proficiency with cloud platforms;
• Expertise in data modeling and design;
• Experience in designing and building scalable data pipelines;
• Experience with RESTful APIs and data integration.

• Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified);
• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related field;
• Strong analytical and communication skills;
• Ability to work collaboratively in a team environment;
• High level…