Senior Data Analyst- Machine Learning
3d ago

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures.

You will be responsible for defining and developing software for tasks associated with the developing, designing and debugging of software applications or operating systems.

Work is non-routine and very complex, involving the application of advanced technical / business skills in area of specialization.

Leading contributor individually and as a team member, providing direction and mentoring to others. BS or MS degree or equivalent experience relevant to functional area.

7 years of software engineering or related experience.


The Oracle Advanced Customer Services organization is looking for a Data Engineer who can collaborate with scientists, engineers, software developers, and business leaders to define data system requirements and provide solutions.

This role will assist ACS Pre-Sales Team which includes : Sales, Solution Management Data Scientists and Delivery of these services through the customer lifecycle.

The individual will conceptualize the data architecture for multiple large-scale projects, while evaluating design which improves the efficacy of logging data, while working with data infrastructure to triage issues and resolve.

Preferred Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Background in Oracle application workload preferred
  • 3 or more years' experience in the field
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Big 5 experience a plus : Deloitte, PWC, Accenture, IBM, KPMG, etc.
  • Additional Details

  • Good knowledge in data engineering concepts, data architecture design, performance tuning, and data modeling advanced ability to perform exploratory data analysis and data visualization skills
  • Comfortable working independently in an ambiguous and fast-paced environment, and are able to think big while paying attention to detail
  • They can communicate with both technical experts and non-experts, and have an analytical mindset that helps them connect their work to the needs of their data customers
  • Experience with big data technologies such as Spark, Hadoop, Hive, HBase, Pig, etc
  • Define and manage SLA for all data sets in allocated areas of ownership
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Partner with product, analytics, and data engineering in interpreting business and analytics requirements and converting them into robust data pipelines
  • General Skill Requirements :

  • Strong drive to learn and master new technologies and techniques.
  • Work with fellow data scientists & architects to build out and maintain all parts of the services lifecycle
  • Ability to work independently and with team members from different backgrounds
  • Ability to quickly understand challenging business problems and uses cases across industries, finding patterns and insights within structured and unstructured data across industries, like financial, agricultural, transportation, food, manufacturing, logistics, energy and other industries.
  • Ability to communicate complex data in a simple, actionable way
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