Data Engineer

2 weeks ago

Delhi, Delhi, India RADCOM Full time ₹ 8,00,000 - ₹ 12,00,000 per year

We are looking for a Data Engineer to work on our in-house data visualization platform. The role involves working closely with Scrum Masters, Product Managers, and cross-functional teams to define, configure, and deploy dashboard features using a in-house BI Application (NAM). This position requires strong analytical thinking, a good understanding of KPIs and SQL, and the ability to translate business requirements into technical configurations.

Requirements


• Strong understanding of MongoDB and data schema configurations.


• Ability to work with JSON configurations and version control tools like Bitbucket.


• Strong skills in SQL and data interpretation related to business KPIs.


• Experience working in Agile/Scrum environments and using JIRA for task management.


• Good verbal and written communication skills for interacting with product and cross-functional teams.


• Strong analytical mindset and attention to detail.


• Bachelor's degree in Computer Science, Engineering, or related field.


• Prior experience working on data-driven applications or business intelligence platforms.


• Experience with dashboard/reporting tools or BI platforms is a plus.


• Proactive and self-driven.


• Strong ownership and accountability.


• Ability to work collaboratively in a fast-paced, team-oriented environment.


• Location preference - Delhi / NCR

Responsibilities


• Collaborate with Scrum Masters and Product Managers to clarify functional and non-functional requirements.


• Break down requirements into JIRA tasks and user stories, including the Definition of Done (DoD).


• Provide story point estimations and high-level effort estimates for sprint planning.


• Work with MongoDB to configure data visualizations as per the schema and business logic.


• Configure and manage JSON-based dashboard configurations and commit them to Bitbucket after successful development and testing.


• Translate KPI definitions and formulas provided by product teams into working configurations by validating against actual data using SQL queries.


• Deploy features to OpenStack or isolated environments via Jenkins pipelines.


• Collaborate with cross-functional teams and communicate clearly with both technical and non-technical stakeholders.


• Nice to have: Knowledge of scripting/automation for configuration processes (e.g., Python, Shell).


• Nice to have: Familiarity with one or more SQL-based databases (e.g., MySQL, PostgreSQL, MS SQL) for KPI validation, debugging, and data interpretation.

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