Data Engineer-1

Key Responsibilities

• Design, build, and maintain data pipelines supporting automated campaign management and monitoring.
• Enable data load management and forecasting by processing and aggregating campaign‐related metrics.
• Develop and maintain data models for campaign status, rollout progress, and batch‐level insights.
• Ensure data quality, consistency, and reliability across integrated systems.
• Collaborate with backend and frontend teams to expose analytics‐ready datasets and APIs.
• Support near‐real‐time monitoring and reporting of campaign execution and system behavior.
• Contribute to data observability, documentation, and continuous improvement of data workflows.
• Technical Expertise
• Solid experience with data engineering fundamentals and pipeline development.
• Proficiency in SQL and working with structured and semi‐structured data.
• Experience with cloud‐based data platforms and managed data services.
• Familiarity with batch and streaming data processing concepts.
• Experience integrating data from distributed systems and APIs.
• Working knowledge of data validation, monitoring, and performance optimization.
• Competencies & Skills
• Strong analytical mindset with the ability to understand complex, domain‐driven data flows.
• Ability to translate business and technical requirements into scalable data solutions.
• Structured approach to data modeling and pipeline design.
• Understanding of how data supports automation, monitoring, and decision‐making.
• Capability to work independently on defined tasks while aligning with the overall data architecture.
• Knowledge of data visualization and BI tools.
• Soft skills
• Clear communication with engineers, product managers, and stakeholders.
• Collaborative, team‐oriented working style.
• Ownership mentality for data products and pipelines.
• Curiosity and willingness to continuously improve data solutions.
• Reliability and attention to detail in data‐critical environments.

Technical Expertise

Competencies & Skills

Soft skills

Nice to have

• Experience with analytics or monitoring use cases in complex platforms.
• Exposure to campaign, rollout, or deployment data.
• Familiarity with event‐driven or near‐real‐time data architectures.
• Interest in large‐scale automation, platforms, or data‐driven operations.
• Working with Embitel • Freedom to challenge norms, make mistakes, learn and grow • There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel • Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision
• To explore an exciting & progressive Career development at Embitel India: • Visit us at: www.embitel.com • Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india

Qualifications

• Experience with analytics or monitoring use cases in complex platforms.
• Exposure to campaign, rollout, or deployment data.
• Familiarity with event‐driven or near‐real‐time data architectures.
• Interest in large‐scale automation, platforms, or data‐driven operations.
• Working with Embitel
• Freedom to challenge norms, make mistakes, learn and grow
• There is no ‘I’ in word ‘Team’ and no hierarchy at Embitel
• Employees of Embitel are partners of our excellence and growth. And they are at the core of organization’s Mission and Vision
• Visit us at: www.embitel.com
• Follow us at LinkedIn: https://www.linkedin.com/company/embitel-technologies-india