The Role:
Keyrus is seeking aSenior Data Engineer to design, build, and optimise cloud-native data platforms in Azure. You will work across modern data architectures, build scalable data solutions, and collaborate with multidisciplinary teams to drive data excellence and platform innovation.
- Location: Hybrid Pune, India (3 days onsite)
- Target Start: January 2025
- Compensation: 30,00,000 40,00,000 INR
Responsibilities:
- Architect, develop, and optimise cloud-native data pipelines and big data ecosystems using Azure technologies.
- Design and implement robust data ingestion, transformation, and enrichment workflows, ensuring high data quality, reliability, and consistency.
- Embed all key Non-Functional Requirements (security, performance, scalability, DR, compliance) into solution designs.
- Evaluate and prototype modern data technologies; lead Proofs of Concept (POCs) to drive continuous platform improvement.
- Collaborate with Data Governance teams to maintain high-quality metadata, lineage tracking, and compliance (e.g., Collibra).
- Promote data mesh principles, reusable data products, and best engineering practices across teams.
- Apply automation and DevSecOps practices using Terraform, GitHub, and CI/CD pipelines to streamline deployment and operations.
- Partner with stakeholders across Product, Governance, Analytics, and Engineering to define technical requirements and deliver scalable solutions.
- Present technical architecture, solution design, and performance findings to technical and non-technical audiences.
What we're looking for in our applicants:
- 10+ years of hands-on experience in data engineering within enterprise or cloud-native environments.
- Proven experience building production-grade data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent).
- Strong proficiency in Python for data engineering, automation, and pipeline development.
- Deep understanding of data lake/data warehouse architectures and modern data platform patterns.
- Extensive experience with data migration, integration of distributed data sources, and handling large-scale datasets.
- Skilled in DevOps/CI/CD, Agile delivery, and automated deployment workflows.
- Experience collaborating with Data Governance, Cloud Engineering, and Product teams.
- Previous experience with Snowflake is a plus.
- Excellent communication skills with the ability to articulate complex technical concepts clearly.
Why Keyrus
Joining Keyrus means joining a market leader in the Data Intelligence field and an (inter)national player in Management Consultancy and Digital Experience.
You will be part of a young and ever learning enterprise with an established international network of thought leading professionals driven by bridging the gap between innovation and business. You get the opportunity to meet specialised and professional consultants in a multicultural ecosystem.
Keyrus gives you the opportunity to showcase your talents and potential, to build up experience through working with ourclients, with the opportunity to grow depending on your capabilities and affinities, in a great working and dynamic atmosphere.
