Position Title: Data Engineer

Function: Technology

Experience: 6–12 Years

Location: Embassy Manyata Business IT Park, Bangalore, India

Reporting: Individual Contributor

Work Mode: Remote after first 2 weeks onsite

Role Summary The Data Engineer is responsible for designing, building, and managing scalable, AI-ready data solutions and products while enabling enterprise analytics, machine learning, and Agentic AI capabilities. The role emphasizes up-to-date cloud data engineering, governance, semantic layers, cost optimization, and collaboration with business and technology stakeholders.

Key Responsibilities

- Design, build, and manage scalable, AI-ready data solutions and products.
- Develop and maintain robust semantic layers and data models.
- Ensure high standards of data quality, reliability, and governance.
- Enable Machine Learning and Agentic AI capabilities across the data platform.
- Collaborate closely with business and technology stakeholders.
- Drive operational efficiency and cost optimization through data-driven solutions.

Mandatory Technical Skills

- Deep understanding of modern data engineering principles and big data ecosystems.
- Strong experience with cloud platforms ( AWS ).
- Ability to design scalable, resilient, cost-efficient, and agentic data solutions.
- Strong proficiency in Python, PySpark, and SQL .
- Hands-on experience with Snowflake
- Experience with Kafka, Kinesis, Event Hub, Dataflow , or similar streaming technologies.




- Experience with orchestration platforms such as Apache Airflow or Astronomer .
- Experience with CI/CD and DataOps practices.
- Experience with data governance, metadata management, data modeling, and data quality .
- Hands-on experience with data platform engineering and administration .
- Exposure Agentic AI, LLM integrations, and orchestration frameworks .

Good-to-Have Skills

- Multi-cloud exposure.
- Observability and monitoring tools.
- API and Microservices-based data integrations.
- Power BI.
- Retail Domain Experience.
- React UI development exposure.

Position Scope

- 5+ years of experience designing and managing large-scale data systems.
- Strong experience with data modeling and scalable data warehouse solutions.
- Expertise in data pipelines and integration frameworks.
- Experience deriving business insights from enterprise data.
- Strong business acumen.
- Experience implementing governance, privacy, and security best practices.
- Experience with Git, Agile, and SDLC.
- Strong stakeholder management and communication skills.

Key Traits

- Strong analytical and problem-solving skills.
- Ability to translate business requirements into technical solutions.
- Ability to evaluate architectural trade-offs.
- Strong focus on cloud cost optimization.
- Ownership mindset toward platform stability and SLA adherence.
- Strong decision-making in evolving environments.
- Effective communication and stakeholder management.

📌 Data Engineer (Bengaluru)
🏢 Vriba
📍 Bengaluru