- Develop, implement, and maintain bestinclass data/analytics pipelines and system as part of the core Elements product offering Prototype, program and help ship the next generation of Elements products that lets developers and consumers access data, services and data models seamlessly and securely.
- Build a scalable web services architecture that supports privacypreserving data access data cataloging, search and discovery, data transformation.
- Be responsible for the development of innovative, nonstandard approaches for knowledge discovery including the use of AI/ML Develop features and improvements to the broader
- Troubleshoot, identify, and resolve technical data and analyticsrelated issues.
- Drive continual improvement of the Elements data and analytics solutions and systems for protection against evolving threats and efficiency
- Analyze and interpret highly complex data to arrive at actionable recommendations
- Collaborate with Product Management and other stakeholders within Engineering to maintain a high bar for quality in a fastpaced, iterative environment
- Solve technical problems with large scope and complexity while you advocate for improvements to product quality, security, and performance
- Craft code that meets our internal standards for style, maintainability, and best practices for a highscale systems environment.
- Maintain and advocate for these standards through code review.
- Confidently own moderate to significantly complex features and improvements with minimal guidance and support from other team members.
- Collaborate with the team on larger projects.
- Mentor other engineers, contribute to team and organizational improvements in processes and tooling
- Have 10+ years of overall professional experience
- Have 35 years of experience database development and tools such as data mining, OLAP, ETL, data modelling, complex SQL queries, performance tuning, and Postgres database development (DDL, DML, stored procedures)
- Have extensive expertise in AWS cloud computing and native databases, especially Redshift, as well as the various data processing tools in the AWS platform
- Can demonstrate handson experience building a data/analytics pipeline from the ground up, as well as handson experience working with data to power AI/ML training and inference
- Have experience with performance and optimization problems, a demonstrated ability to both diagnose and prevent such problems, and a desire to share your knowledge and scale through others
- Enjoy working in a fastpaced startup environment where you can be autonomous and experimental, be part of a truly global team, and can work up and down the stack
- Have strong technical documentation skills, including the C4 Model and Architectural
- Decision Records Understand design patterns and have working experience in developing and deploying microservices in the cloud, and have a proven trackrecord in doing so Care about privacy by design, security, testing, highperformance systems, and mentoring others, and have an inclination towards clear communication, inclusion and visibility.
- Experience working crossfunctionally, and across locations and timezones
- Domain expertise in decentralized identity solutions
- Experience in developing systems with cryptography requirements
- Hybrid working model
- Flexible working hours
- Unlimited vacation policy
- Competitive compensation package
- Work within international environment
- Learning Budget
- Mobile Allowance
- Home Office Allowance
- Urban Sport Membership
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Description
About the job :
Avensys is a reputed global IT professional services company headquartered in Singapore.
Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services.
Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.
We are currently looking to hire a Data & Analytics Engineer.This is an exciting opportunity to expand your skill set, and achieve job satisfaction and work-life balance.
Job :
Data & Analytics Engineer, Senior Staff (Elements,L6)
Location :
Bengaluru
Number of Positions : 3
Permanent Role
Job type :
Hybrid
Responsibilities :
Elements product in a secure, well-tested, and performant way, primarily using Typescript, Python, R, Rust Refine and optimize the implemented data processing methods to provide more accurate results or remove inefficiencies or enhance the service offering.
Must-Have Requirements :
Bonus points :