Staff Data Eng

YOUR TASKS AND RESPONSIBILITIES

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

• Lead and participate in design sessions with Enterprise and Hub Data Stewards, Engineering teams, Data Scientists, Product Managers, business and IT stakeholders, that result in design documentation for data processing, storage and delivery solutions;
• 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 solving business problems effectively;
• Evaluate new technologies, like Domino or Redshift, or new languages, like Go or React, including assisting with POCs and presenting results to others, with a goal of providing technical recommendations;
• Implement data solutions according to design documentation using a variety of tools and programming languages, like Kafka, SQL and non-SQL databases, Scala, Go etc., and following team’s established processes and methodologies, like SCRUM or Kanban;
• Facilitate and participate in code reviews, retrospectives, functional and integration testing and other team activities focused on improving quality of delivery;
• Collaborate with other data engineers and stewards within the team and across data, technical platforms and product teams on aligning delivery dates and integration efforts;
• Mentor junior and aspiring Data Engineers;
• Represent the team at various cross team meetings and events focused or design and planning, like Scrum of Scrums and Release Planning, sharing the results of team efforts, or brainstorming on process improvements;
• Create and maintain design and code documentation in GitHub, Haystack, SharePoint and/or another repositories used by the team.
• Delivers quality and scalable technical solutions to problems related to team-owned product(s);
• Spends significant time writing code while refining core technical and domain skills;
• May begin to mentor more junior engineers;
• Peer own moderately complex tasks, accountable for completion of tasks while collaborating with product management, customers, and other team members.

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 in Computer Science, Software Engineering, or related field, with 3 years professional software engineering experience or Master's degree with 1 year relevant experience or Ph.D.;
• With at least 7 years of relevant experience is an acceptable substitute for degree requirement;
• Professional software engineering experience to include, at least 2 years of experience engineering data intensive software using streaming and resource based design principles, at least 1 year of experience in least one NoSQL database, such as (but not limited to) Neo4j, Cassandra, etc.;
• At least 1 year fluency in an object oriented or functional language such as Java, Scala, Go, etc.;
• Demonstrated experience with data architecture and modeling, including designing both logical and physical models for datasets;
• Proficiency in working with relational databases such as Postgres, MySQL, Oracle, etc.;
• Proven experience modeling large datasets in distributed databases such as (but not limited to) Apache Cassandra, Spanner, etc.;
• Strong interpersonal skills and desire to work in a highly collaborative environment;
• Familiarity with the relevant industry trends.

Preferred qualifications:

• Agriculture, life sciences, bioinformatics, biochemistry, genetics, biology, or a related disciplines;
• Platform-as-a-Service software such as Cloud Foundry or Kubernetes;
• Stream processing, e.g. Kafka, Spark Streaming, Akka, etc.;
• Machine learning or other data science practices.