IND Staff Data Engineer

IND Staff Engineer - GCC091 We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Accountable for building small or medium scale pipelin e and data products. Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveragin g ELT solutions to acquir e , integrate, and operationalize data   Provides input to influence solution design   Build and implement capabilities for continuous integration  and continuous delivery aligned with Enterprise DevOps practices   Accountable for data engineering practices ( e.g. Source code management, branching, issue tracking, access, etc.) followed for the product   Provide documentation and operating guidance for users of all levels. Document technical requirements and present technical concepts to audiences of varying size and level   Research, experiment, and utilize leading big data methodologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend) with cloud/on premise hybrid hosting solutions, on a project level   Implement, and test data processing pipelines, and data mining on a variety of hosted settings (AWS, Client technology stacks)   Stay up-to-date on emerging data and analytics technologies, tools, techniques, and frameworks. Evaluate, recommend, and influence technology-based decisions for tools and frameworks for effective delivery    Support the development and implementation of project and portfolio strategy, roadmaps and implementations   Knowledge, Skills, and Abilities     Good working Technical Knowledge (Cloud data pipelines and data consumption products)   Ability to communicate at all levels within the digital analytics team and influence team leadership   Ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs   Team player with transformation mindset   Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working   Must be able to collaborate across teams; demonstrate effective decision making, conflict resolution and relationship building   Ability to troubleshoot and resolve problems across the technology stack with guidance   Experience with data structures and services with APIs   Ability to collaborate with the team to mature code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value   Develops and promotes best practices for continuous improvement   Should have working knowledge and understanding of DevOps technology stack and standard tools/practices   Education, Experience, Certifications and Licenses              Minimum Qualifications:    6 to 9 years of software development or data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems   1+ years of developing and operating production workloads in cloud infrastructure   Focus on action and iterative deployment practices   Proven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsets   Strong written and verbal communication skills   Ability to execute independently                    Preferred Qualifications:   Tag management system experience, Tealium iQ preferred   Digital Analytics analysis and reporting tools experience - such as Google Analytics, Adobe Analytics and Tealium AudienceStream   ETL tools (Talend Studio, Informatica)   Reporting tools (Tableau, Data Studio)   Cloud Technologies (AWS, EMR, S3)   Data warehousing solutions (Snowflake, SnowSight , SQL)   An