Data Engineer

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Essential Duties And Responsibilities

• Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the data lake or data warehouse.
• Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large scale data processing workflows; implement technical solutions to maintain data pipeline processes and troubleshoot failures
• Collaborate with technology teams and partners to specify data requirements and provide access to data
• Tune application and query performance using profiling tools and SQL or other relevant query language
• Understand business, operations, and analytics requirements for data
• Build data expertise and own data quality for assigned areas of ownership
• Work with data infrastructure to triage issues and drive to resolution
  
  

Required Qualifications

• Bachelor’s Degree in Data Science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
• Overall experience should be more than 5+ years
• 3+ years of experience working with SQL and Talend.
• 3+ years of experience in implementing modern data architecture-based data warehouses
• 2+ years of experience working with data warehouses such as Snowflake BigQuery, or Redshift and understand data architecture design
• Excellent software engineering and scripting knowledge
• Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics
• Expertise with data systems working with massive data sets from various data sources
  
  

Preferred Qualifications

• Advanced knowledge of SQL, including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning
• Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks
• Background in Big Data, non-relational databases, Machine Learning and Data Mining
• Experience with cloud-based technologies like S3.
• Experience with modern data platforms like Solr or ElasticSearch
• Expertise in Data Quality and Data Governance
  
  

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.