3 Days Left Developer I

2 weeks ago

Pune, Maharashtra, India Johnson Controls Full time
Job Description

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.

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