Data Science Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex enhancements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Communicate with QA and porting engineering as necessary to discuss minor changes to product functionality and to ensure quality and consistency across specific products.

Duties and tasks are varied and complex needing independent judgment. Fully competent in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 4 years of software engineering or related experience.

Responsibilities

Our team develops various software tools that Oracle uses to patch the fleet, manage internal environments, monitor production availability, and data mine to provide metric reporting on behalf of our cloud customers. In addition, we play a key role in site reliability for Oracle Advertising and Cx. This role will focus on our telemetry solution that is responsible for providing user telemetry and observability data for the entire Oracle fleet. We operate using agile principles and currently have teams primarily located in Canada, U.S. and India. This particular position is located in India.

Job Responsibilities:

• Engage in product definition; combine requirements of Oracle Products with Fleet Usage and other related data to then design and architect algorithms for output for telemetry.
• Interacts with various product and operations teams to identify questions and issues for data analysis and experiments.
• Design algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Contribute and follow data science process including tasks and deliverables related to requirements, data discovery and extraction, model development, to implementation
• Ensure high-quality data and understand how data is generated out and experimental design and how these experiments can produce actionable, trustworthy conclusions.

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Experience:

• B.E/B Tech/MCA in Computer Science or related field
• 3 + Years of relevant work experience
• Experience with data mining, data processing, data science, data modeling and hypothesis testing is preferred
• Experience in data analysis and databases in a business environment utilizing business intelligence and large-scale complex data sets
• Experience with Data Science algorithms and technologies
• Proven track record of designing and building executive level dashboards and trend reports
• Proven track record of design and development and implementation with various facets of enterprise software including migration, scalability, flexibility/configuration, and performance
• Knowledge using PL/SQL
• Familiar with Telemetry and monitoring solutions including Visualization solutions like Grafana
• Understanding of statistical/mathematical predictive modeling
• Understanding of machine learning / artificial intelligence
• Familiarity with monitoring and log analytics technologies using tools like Grafana and Splunk
• Familiarity with cloud technologies like virtualization, Docker, Kubernetes
• Ability to quickly learn new technologies
• Ability to work in a fast paced environment on multiple projects at a time with individuals from multiple departments regions and cultures

Preferred Qualifications:

• Excellent interpersonal and communication skills both written and verbal
• Experience with DB schema design, optimized SQL generation, and tuning
• Experience with of industry-standard tooling to create complex, scalable and robust models
• Capable of working independently and efficiently
• Knowledge using Oracle Business Intelligence Suite Enterprise Edition (OBIEE)
• Experience with CICD/DevOps
• Programming skills in Python, R, or Java
• Knowledge of Linux/Unix
• Knowledge of JSON or REST Web Services is an asset
• Knowledge with Jira, Confluence, SVN/GIT
• Experience with R, Google Analytics, Hadoop, Spark, or Kafka and industry standard analytic tools
• Understand concepts and able to explain and persuading DevOps’ culture, automation, lean, measurement, and sharing changes throughout internal teams

Detailed Description and Job Requirements

As a member of the Oracle Advertising and Cx DevOps team, 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 our telemetry solution. Work is non-routine and very complex, involving the application of advanced technical/business skills in area of specialization. Strong candidates with an interest in data science and performance, contributing as an active team member. BS or MS degree or equivalent experience relevant to functional area. 3+ years of software engineering or related experience.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic.