Lenovo

Lenovo’s Infrastructure Solutions Group (ISG) is seeking a qualified candidate to join our global tools, data, and automation development team. This team designs, develops, deploys, and maintains software applications for productivity and automation solutions.

What You'll Do

The position will develop automation to drive efficiency and effectiveness, automate manual tasks, and extend existing automation platforms for others to build on. Additionally, this role will provide Technical Leadership to a worldwide team and utilize problem solving skills to provide solutions based on data for worldwide product assurance issues.  Responsibilities Include:

• Work with team to develop data strategies: data model, tools, storage, parsing, etc.
• Define the physical components in data.
• Define the configuration of a collection of components over time  in data.
• Define characteristics of a specific configuration over time in data.
• Integrate with existing business data
• Coordinate with functional teams within Lenovo to develop and automate data pipelines to continuously supply our analysts with clean and reliable data.
• Work with to existing team to integrate, adapt, or identify new tools to efficiently collect, clean, prepare, and store data for analysis

Basic Qualifications:

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or in a related field
• 4+ years’ experience with object-oriented/object function scripting languages: Python, Scala, etc
• 4+ years’ experience building processes supporting data transformation, data structures, metadata, dependency and workload management
• 4+ years’ experience in data schema, data pipeline design and database management
• 4+ years’ experience in optimizing data pipelines, architectures and data sets Fluency in structured and unstructured data and management through modern data transformation methodologies

Preferred Qualifications:

• 4+ years’ experience with designing and managing data in modern ETL architect like Spark, Kafka, Hadoop, Snowflakes
• Experience with cloud service environment
• Working experience with NoSQL
• Experience with Power BI ETL pipeline
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Strong analytical, problem solving, verbal and written communication skills