How you will do it
- Provide third-level support to branch technicians engineers.
- Maintain released products Data Pipelines.
- Liaise with other departments including Product Support, Technical Authors SQA
- Design software code, technical specifications feasibility study.
- Participate in Analysis, code unit testing.
- Identify, analyze, and resolve complex cloud IOT inadequacies.
- Review and provide feedback on product functional specifications.
- Participate in assisting Compliance, Approvals, factory testing with any necessary support.
- Participate in product development meetings, design reviews and code reviews.
- Prepare the documentation as per ISO QMS guidelines Participate in Quality Management System reviews
- Makes recommendations for changes to product development guidelines standards.
- Comply with established development guidelines and standards.
- Develop an in-depth understanding of the development realm through interaction with other groups, communication with external experts and suppliers and independent research.
- Work for estimation, design, analysis, coding, and unit testing.
What we look for
3 - 6 years of relevant Data pipelines design, development, and testing experience. Product development experience preferred. Working knowledge on building automation and industrial automation systems will be added advantage.Skills :
Experience : 3+ years in Big Data development.Technologies : Proficiency with Snowflake, Postgres, Apache Spark, KSQL, OpenTable Formats and Flink.Data Retention : Knowledge of hot and cold storage solutions.Building Management Systems : Experience in integrating data-driven insights.Collaboration : Ability to work with cross-functional teams.Data Governance : Strong understanding of data governance practices.Responsibilities :
Designing Data Management Frameworks : Develop and implement data strategies, create data models, and manage data warehouses.Ensuring Data Security and Compliance : Implement access controls, encryption, and other security measures.Implementing Data Management Processes : Oversee data systems health, define KPIs, and recommend system enhancements.Building Data Models and Strategies : Construct data models and devise strategies for data management.Collaborating Across Teams : Work with stakeholders to ensure data architecture meets organizational needs.Research and Development : Stay updated on data management trends and explore new tools.Skills Required
Compliance, Sqa, Data Security, Data Management, Data Architecture, Product Support