Responsibilities of the Candidate:

Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services.
Engage with technical leads, and partners to lead high velocity migration and modernisation to Google Cloud Platform (GCP).
Design, migrate/build and operationalise data storage and processing infrastructure using Cloud native products.
Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Requirements:

Bachelor's degree in Computer Science or equivalent practical experience.
Experience in developing and troubleshooting data processing algorithms and software (e.g., Python, Java, Scala, Spark, Hadoop).
Experience building machine learning or data science solutions.
Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures.
Experience in Big Data, information retrieval, data mining, or Machine Learning.
Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
Understanding of database type, with the ability to write complex SQLs.
Understanding of distributed data processing frameworks and modern age GCP analytical and transactional data stores like BigQuery, CloudSQL, AlloyDB etc.
Understanding of core AI/ML concepts and frameworks like TensorFlow or PyTorch.