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Oracle OAS Developer

Senior OAS/OAC (Oracle analytics) designer and developer having 3+ years of experience. Worked on new Oracle Analytics platform. Used latest features, custom plug ins and design new one using Java. Has good understanding about the various graphs data points and usage for appropriate financial data display. Worked on performance tuning and build complex data security requirements.

Qualifications

Bachelor university degree in Engineering/Computer Science.

Additional information

Have knowledge of Financial and HR dashboard

Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.

Location – Pune

Job Responsibilities

• Work closely with data scientists and data analysts to build models and continuous data monitoring workflows.
• Implement algorithms / models within companies recommendation engine framework.
• Own the MLOps life-cycle; build and own ML model life-cycle management process encompassing coding to building robust model monitoring workflows.
• Consult with product and business teams to build prototypes and then deploy holistic machine learning solutions.
• Recommend and implement architecture to deploy machine learning pipelines and CI/CD processes at scale

Skills Needed

• Minimum 3 years of experience as Machine Learning Engineer
• Knowledge of machine learning and statistics
• Strong experience working in the areas of time series analysis, reinforcement learning, NLP, optimization and heuristics based implementation to solve real-world problems
• Experienced in architecting solutions with Continuous Integration and Continuous Delivery in mind
• Strong knowledge of coding in Python and libraries such as Pandas, Numpy, Scikit-Learn, PyTorch, etc.
• Experience handling Big Data leveraging technologies like Snowflake, Spark. Ability to work in a big data ecosystem - expert in SQL and ability to work in distributed databases.
• Able to refactor data science code and has collaborated with data scientists in developing ML solutions.
• Experience playing the role of full-stack data scientist and taking solutions to production.
• Educational qualifications should be preferably in Computer Science, Statistics, Engineering or a related area.

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

• Possess strong domain knowledge - Digital Analytics (Google Analytics, App Analytics (Firebase/AppsFlyer/Branch/MixPanel), CRO, Media Analytics 

• Ability to handle Google Analytics clients end-to-end  

• Contribute to building effective process management, mentoring teammates, reducing product & execution inefficiencies 

• Be responsible for day-to-day Google Analytics operations and performance of client accounts, requiring interaction with both internal and external stakeholders.   

• Own, manage and grow digital analytics strategies for clients.   

• Be responsible for all regular (and ad hoc) reporting and analysis of digital activity providing crucial insights, and effectively communicating this to the client.