IT Deployment, Data Engineer - Chennai

Job description

It's more than a job In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine. ‎ &#13; As a data engineer within our Contract Logistics Global Reporting team, you will implement and evolve modern data archietcture and pipelines that provide the source-of-truth data regarding shipments across the company. Working within an established BI landscape and driving the evolution towards a cloud-native stack centred on Dagster, dbt, Snowflake, and AWS, you will ensure that data flows reliably from diverse source systems into curated data products, fitting the needs of a data-driven logistics enterprise. You will ensure cloud-based infrastructure is utilised as efficiently as possible across data science products and projects, enabling downstream BI consumers and analysts to make timely, data-driven decisions. How you create impact &#13; • Implement and model analytical output ports for our data products, ensuring they are discoverable and consumable across domains • Design, develop, and maintain data pipelines using Dagster as the primary orchestration framework, progressively modernising existing ETL workflows • Build and manage data transformation layers using dbt, ensuring well-tested, documented, and version-controlled models • Ensure proper operation and evolution of data models and resulting data sets, maintaining them as the source of truth for shipment data • Architect and optimise Snowflake data warehouse structures including schemas, tables, views, and materialisation strategies • Provision and manage AWS infrastructure components supporting the data platform (S3, Lambda, IAM, EC2, etc.) • Build and operate data-centric infrastructure in collaboration with DevOps specialists • Integrate data from a variety of source systems including logistics and supply chain platforms (e.g. TMS, WMS, ERP) as well as Oracle and PostgreSQL databases • Provide an analytics and data quality focused perspective to existing shipping data products • Evaluate new tools and technologies to enhance the data platform landscape • Work alongside the existing BI development team to understand current ETL processes and data models, ensuring continuity during platform modernisation • Implement data quality checks, monitoring, and alerting across pipeline stages • Collaborate with reporting analysts and business stakeholders to understand data requirements and deliver appropriate models • Maintain CI/CD workflows for data pipeline code and infrastructure-as-code deployments, complementing existing Jenkins-based automation where appropriate • Contribute to data governance practices including cataloguing, lineage tracking, and documentation • Support and troubleshoot production data issues, performing root cause analysis and remediation What we would like you to bring &#13; • 2–5 years of experience in Data Engineering or a similar role. • Strong experience with Snowflake, SQL, Python, dbt, and AWS. • Hands-on experience building and maintaining data pipelines and ETL/ELT workflows. • Strong knowledge of data modelling and data warehouse design. • Experience developing and supporting data products for analytics and reporting. • Expertise in Snowflake architecture, performance optimization, and RBAC. • Experience integrating data from WMS, ERP, TMS, Oracle, PostgreSQL, or similar systems. • Familiarity with Git, CI/CD, data quality, and monitoring frameworks. • Logistics, Supply Chain, or Blue Yonder WMS experience is preferred. • Strong communication, problem-solving, and stakeholder management skills.   What's in it for you</H