About the Role The Data Engineer builds scalable data pipelines and platforms while working with business, analytics and technology stakeholders to understand how data will be consumed and translate those needs into reliable engineering solutions. The role combines hands-on engineering with structured problem solving, proactive stakeholder communication and a strong focus on business outcomes.
Key Responsibilities
- Understand business, analytical and AI requirements and translate them into actionable data-engineering requirements.
- Build scalable ETL/ELT pipelines and integrations across multiple data sources.
- Collaborate with Data Architects to assess implementation approaches, constraints and design options.
- Ensure data quality, reliability and traceability through appropriate testing and monitoring.
- Optimise data processing, storage and query performance while considering cost and scalability.
- Participate in solution workshops and technical discussions and clearly communicate engineering dependencies, assumptions and constraints.
- Provide clean, trusted and documented data assets to AI, analytics and BI teams.
- Proactively identify delivery or data-quality risks and recommend practical resolution options.
- Support stakeholders during solution walkthroughs, testing and production rollout.
- Identify opportunities for automation and reusable data components that improve delivery efficiency.
Key Skills & Experience
- Solid Python/Java/Scala, SQL and modern data-platform engineering capability.
- Structured problem-solving skills and ability to evaluate alternative implementation approaches.
- Ability to explain technical dependencies and recommendations to non-technical stakeholders.
- Comfortable working in cross-functional and client-facing delivery environments.
Enable Skills-Based Hiring No ECMS REQ IDAdditional Details
- ECMS REQ ID : 583524
- Project Location 1 : KRNK | Bengaluru
- Project Location 2 : (No Value)
- Project Location 3 : (No Value)
- Project Location 4 : (No Value)
- Delivery SPOC : Rajesh Kamasani
- Relevant Experience : 6+ Years
- Mandatory skills : • Strong Python/Java/Scala, SQL and modern data-platform engineering capability. [Data_Engineer | Word]• Structured problem-solving skills and ability to evaluate alternative implementation approaches.• Ability to explain technical dependencies and recommendations to non-technical stakeholders.• Comfortable working in cross-functional and client-facing delivery environments.
- Desired skills : • Strong Python/Java/Scala, SQL and modern data-platform engineering capability. [Data_Engineer | Word]• Structured problem-solving skills and ability to evaluate alternative implementation approaches.• Ability to explain technical dependencies and recommendations to non-technical stakeholders.• Comfortable working in cross-functional and client-facing delivery environments.
- Domain (Industry) : Insurance
- BGC (Before onboarding / After onboarding) : PreOB
- Total Experience (Ex. 5-7 Years) : 6+ Years
- BGC Details : Infosys Standard Checklist
- BGC Vendor : Any NASSCOM Vendor
- Mode of Interview : Face to Face
- WFO / WFH / Hybrid : Hybrid
- Please enter shift timings : 8:30 am to 6:00 PM
- Shift Timings : General
📌 583524 | Data Engineer | IC | Bengaluru
🏢 Trigent Software
📍 Bengaluru
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