Lead - Data Engineering
2 months ago
The Purpose of This Role
We are looking for a Lead Data Engineer with expertise in designing and developing cloud data integration and ingestion solutions, components, and patterns to build and migrate on-premises applications on AWS and Snowflake Cloud Datawarehouse for Internal And External Reporting platforms
The Value You Deliver
Collaborating with peer Architects, Product, DevOps and Application Engineering teams to publish cloud solutions, reusable components and microservice patterns that would help in migration of on-prem applications to cloud or to build new applications on cloud platforms like AWS Following Fidelity best practices/methodologies, thorough understanding of the technology roadmap, advancement to design/development process and providing innovative solutions at a very fast/rapid pace Driving technical vision and initiative with US partners, architects, and prototyping, getting buy-in from cross-geography teams Developing, designing, and building architecture solutions on a platform dedicated to high scale processing of large amounts of data. Collaborating with peers and management on process improvement ideas, policy and procedure enhancements, and opportunities to improve our customer's service experience. Participating in code review and unit testing and providing support on issues in non-prod or production Being part of a rotating on-call support teamThe Skills that are Key to this role
Technical / Behavioral
Hands on experience on AWS Platform and its components Experience of building Cloud Applications on AWS platform A minimum of 3 – 5 years Extract Transformation and Load (ETL) development experience preferably with data warehouse environments A minimum of 5-6 years of Informatica experience with Oracle Database A minimum 2-3 year of experience in Snowflake Cloud WarehouseExperience in Docker Containers, Docker Management platforms like Kubernetes, EKS etc. Experience of any Relational or NoSQL Databases Experience working with DevOps team to build/configure/debug pipelines and automation Good Python and UNIX/LINUX shell programming skills Strong communication and relationship skills Strong problem solver, able to assimilate information quickly and to holistically analyze and solve problems Ability to work effectively with both partners and project team members Experience and comfort in working on multiple projects simultaneouslyThe Skills that are Good To Have for this role
Hands on – Cloud design solutions and patterns Knowledge of Python programming is plus Knowledge in Informatica, ETL, Snaplogic, Data Lake and Data Warehousing Concepts Build Technologies & CICD (Maven, Jenkins, Concourse – pipeline as code) Infrastructure as a code – Cloud formation Unix and Shell scripting advanced knowledge Experience in Git/Stash/Bit BucketWe have other current jobs related to this field that you can find below
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