Data Engineer

Embitel Technologies; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Embit Technologies in Bengaluru is seeking a data engineer to design, build, and maintain data pipelines that support automated campaign management and monitoring. You will process and aggregate metrics to enable load management and forecasting, while developing robust data models for campaign status and rollout progress.

You will ensure data quality across integrated systems and collaborate with backend and frontend teams to expose analytics‑ready datasets and APIs, supporting near real‑time

Qualifications

• 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.
• 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.
• Clear communication with engineers, product managers, and stakeholders.

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.

Skills

Data engineering

SQL

Structured data

Cloud platforms

Streaming data

APIs integration

Data validation

Data modeling

BI tools

Collaboration

Tools

Cloud data services

Data visualization tools

ETL tooling

BI platforms

Job description

• 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.
• 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.
• 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.

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.