The Data Engineer is responsible for the design, development, and optimisation of data pipelines, transformations, and platform components within icares cloud-based data ecosystem. This role combines hands-on delivery with technical leadership across projects, enabling scalable and reusable data assets that support analytics, insights, and operational use cases. As a senior member of the Data Platform Engineering team, the role contributes to the standardisation of engineering practices, mentors junior engineers, and proactively collaborates with Solution Designers, DevOps, and Data Ops to ensure quality, performance, and operational readiness.

KEY RESPONSIBILITIES
The WHAT to be delivered and outcomes to be achieved Develop and maintain reliable, performant, and reusable data pipelines using AWS (e.g. Glue, Lambda) and Snowflake Translate solution designs and modelling specifications into technical implementation with minimal supervision Contribute to design discussions and code reviews, helping uplift engineering quality and consistency Embed logging, error handling, and observability features into all pipeline work Apply CI/CD practices and collaborate with DevOps to automate build, test, and deployment processes Support solution scalability by building with reusability and modularisation in mind Mentor junior Data Engineers, contributing to technical documentation and team knowledge sharing Collaborate with Data Engineers, contributing to technical documentation and team knowledge sharing Collaborate with Data Ops on tuning, deployment readiness,



and continuous improvement actions Liaise with Solution Designers and Performance Monitoring & Insights to ensure data is for downstream consumption Collaboration Reports to the Manager, Data Platform Engineering Works under the technical guidance of the Lead Data Engineer Collaborates closely with:
- Solution Designers and Data Modellers to ensure solution alignment
- DevOps Engineer for CI/CD implementation and release readiness
- Data Ops to support deployment, troubleshooting, and performance improvements
- Senior Test Engineers or embedded testing function to support test-drive deployment Acts as a liaison between technical teams and enterprise delivery/program stakeholders Qualification & Skills Experience Bachelor’s degree in Computer Science, Software Engineering, Data Engineering or related field Solid SQL and Python skills Solid understanding of data pipeline orchestration, transformation logic, and cloud-native tools (Snowflake, AWS Glue, Lambda, S3) Familiarity with CI/CD practices and code versioning Minimum 5+ years in data engineering or related development roles Proven experience building end-to-end data pipelines and transformations in cloud platforms Demonstrated ability to lead delivery across individual initiatives or workstreams Desirable Snowflake and /or AWS certifications Familiarity with data quality frameworks and automated testing tools (e.g. dbt, Great Expectations) Experience contributing to modularised, shared pipeline frameworks Experience working in public sector, insurance, or highly regulated environments Exposure to modern analytics workflows (e.g. real-time, streaming, ML features) Participation in Agile delivery teams and cross-functional

📌 Data Engineer (India)
🏢 Adactin Software
📍 India