Developer I

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.