Job description

About our group:


LYVE Cloud Storage-as-a-Service platform is an S3-compatible storage-only cloud that enables always-on mass capacity data storage and activation. It is designed as a simple, trusted, and efficient service allowing enterprises to unlock the value of their massive unstructured datasets. LYVE Cloud is a natural extension of Seagate’s leadership in mass data solutions, combining our mass capacity HDD innovation with deep storage industry knowledge to help customers activate more of their valuable data.


In this highly visible role, you will help to develop and maintain the next generation enterprise data and analytics platform’s on Lyve Cloud. You will be a vital component in engaging architectural decisions, reviewing of designs, scrum leading, development, and in operations of the Data platforms.


If you're a Master of the “big picture”, with demonstrated success in development of Big Data solutions where you're building massive Data Lakes, then we want to talk with you. Snap up on this opportunity for your next big career challenge to create business value as you showcase your strength in architecture , design and development of BigData Solutions. You'll join our LyveCloud Analytics group and will be based in our Fremont, CA location.

About the role - you will:


  • Be part of a product team of 8-10 Platform Engineers that are the crux for developing and maintaining Big Data (Data Lake, Data Warehouse and Data Integration) and Machine Learning /advanced analytics platforms on Lyve Cloud
  • Apply your hands-on subject matter expertise in the Architecture and administration of Big Data platforms - Data Warehouse Appliances , Hadoop (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME)
  • Develop and manage SPARK ETL Frameworks, Data orchestration with Airflow and support building PRESTO/Trino queries for the key stakeholders
  • Design, scale and deploy Machine Learning pipelines
  • Collaborate with Application Architects and Business SMEs to design and develop end-to-end data pipelines and supporting infrastructure
  • Work with customers and business stakeholders to understand the needs and deliver on their highest priority features and requirements incrementally
  • You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Big Data analytics with the complex and high-impact space of HiTech and Manufacturing analytics
  • As a motivated self-starter, you have the experience working in a dynamic environment
  • Strong appetite for constant learning, thinking out of the box, and questioning problems & solutions with the intent to understand and solve in more creative ways
  • Uncompromisingly detail oriented, well organized with solid time management skills, and you have solid effective verbal and written communications abilities as well
  • Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
  • Excellent interpersonal skills to develop relationships with different teams and peers in the organization

About you:


  • Excellent communication skills
  • Collaborative
  • Enjoys working in a fast paced environment


Your experience includes:


  • Excellent technical skills with a proven and successful history working with data at scale and empowering organizations through data
  • Big data processing frameworks: Spark, Hadoop, Hive, Kafka, EMR
  • Architecting and developing big data solutions on cloud (AWS or Other)
  • Advanced experience and hands-on architecture and administration experience on big data platforms
  • Data Warehouse Appliances, Hadoop (AWS EMR, HortonWorks), Data Lake Technologies (AWS S3/GCS/Other) and experience with ML and Data Science platforms (Spark ML , H2O , KNIME )
  • Python, Java, Scala
  • DevOps, Continuous Delivery, and Agile development
  • Creating a culture of technical excellence by leading code and design reviews, promoting mentorship, and identifying and promoting educational opportunities for engineers
  • Bachelor's Degree in (Computer Science or Business/Data Analytics) and 8+ years experience, or Master’s Degree in (Computer Science or Business/Data Analytics)s) and 5+ years experience, or
    or PhD and 3+ years of experience or equivalent education and experience.


You might also have:


  • Strong understanding of Micro-services and container-based development using Docker and Kubernetes ecosystem is a BIG plus
  • Experience working in a Software Product Development environment is a BIG plus

Location:


Location
: Fremont, USA, Research Center


Our Gold LEED-certified Fremont product-design campus drives innovation, bringing together a diverse set of engineering, design, operations, support and administrative teams. The site is equipped with state-of-the-art clean room and lab space. On-site social activities are popular, including our annual BBQ, ice cream social, and holiday events. Wellness programs, gaming rooms and the on-site fitness center help round out and balance your Seagate work-life experience, along with opportunities to give back to our local community.


Travel
: Up to 10%


Seagate offers comprehensive benefits to its eligible employees; including, but not limited to, medical, dental, vision and life insurance, short and long term disability, annual variable pay bonus, 401(k), employee stock purchase plan, flexible and dependent care spending accounts, health care spending account, flexible time off/vacation, paid holidays and paid parental leave.

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