Senior Data Engineer - Bengaluru/Bangalore @ Philips India

Your responsibilities

• Ensure strategic direction for data information capabilities for Philips is created and kept up to date on a regular basis
• Continuously evaluate the latest techniques in the big-data, SaaS area, as well as maintaining capabilities to support machine learning, robotics, and statistical analysis
• Implement advanced pipelines to support data integration like APIs, streaming (Kafka, event-hub, messaging mechanisms) and other data-integration and data-liberation concepts
• Implement advanced pipelines for data handling through centralized cloud platforms, both batch-driven as well as real-time streaming
• Maintaining and implementing data transformations to support common- and canonical data models, as well as enabling Data-as-a-Service business cases
• Develop new transformations if necessary, to support both analytical as well as transactional data flows
• Develop and support CI/CD pipelines to further automate processes and feeds to support processes which enable better business outcome
• Co-create with business / market / functions or IT platforms on requirements
• Ensure quality of data and solution developed
• Lead and drive in deploy and testing of the solutions
• Spot and evaluate emerging/cutting edge, open source, data science/machine learning and other enabling libraries

Core competencies needed to be successful:

A Master s Degree or PhD in Computer Science, Econometrics, Applied Mathematics, Statistics or equivalent;

• 8-10 years of overall experience in data engineering roles
• 8+ years of experience in driving implementation of solutions, data warehouses and lakes like Azure , AWS, SQL etc
• Demonstrable advanced programming experience in cloud enabled programming languages etc
• Demonstrable advanced experiences with ADF, Databricks, Spark and other cloud technologies to support and enable data strategies
• Ability to formulate multiple complex business problems into hypothesis and proof of concepts for testing
• Manage Projects and lead a sub-portfolio of data science project teams to deliver results
• Coach, Guide and direct teams of internal and vendor resources
• Collaborate across IT platform teams to deploy solutions and drive continuous improvements
• Manage senior stakeholder in the company in a matrix organization i.e. Market / BG / Function leaders