IND Staff Data Engineer
Description
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
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Provides input to influence solution design
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Build and implement capabilities for continuous integration and continuous delivery aligned with Enterprise DevOps practices
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Accountable for data engineering practices ( e.g. Source code management, branching, issue tracking, access, etc.) followed for the product
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Provide documentation and operating guidance for users of all levels. Document technical requirements and present technical concepts to audiences of varying size and level
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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
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Implement, and test data processing pipelines, and data mining on a variety of hosted settings (AWS, Client technology stacks)
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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
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Support the development and implementation of project and portfolio strategy, roadmaps and implementations
Knowledge, Skills, and Abilities
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Good working Technical Knowledge (Cloud data pipelines and data consumption products)
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Ability to communicate at all levels within the digital analytics team and influence team leadership
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Ability to work with cross-functional teams and translate requirements between business, project management and technical projects or programs
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Team player with transformation mindset
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Ability to operate successfully in a lean and fast-paced organization, leveraging Scaled Agile principles and ways of working
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Must be able to collaborate across teams; demonstrate effective decision making, conflict resolution and relationship building
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Ability to troubleshoot and resolve problems across the technology stack with guidance
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Experience with data structures and services with APIs
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Ability to collaborate with the team to mature code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value
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Develops and promotes best practices for continuous improvement
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Should have working knowledge and understanding of DevOps technology stack and standard tools/practices
Education, Experience, Certifications and Licenses
Minimum Qualifications:
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6 to 9 years of software development or data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems
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1+ years of developing and operating production workloads in cloud infrastructure
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Focus on action and iterative deployment practices
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Proven experience with software development life cycle (SDLC) and knowledge of agile/iterative methodologies and toolsets
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Strong written and verbal communication skills
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Ability to execute independently
Preferred Qualifications:
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Tag management system experience, Tealium iQ preferred
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Digital Analytics analysis and reporting tools experience - such as Google Analytics, Adobe Analytics and Tealium AudienceStream
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ETL tools (Talend Studio, Informatica)
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Reporting tools (Tableau, Data Studio)
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Cloud Technologies (AWS, EMR, S3)
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Data warehousing solutions (Snowflake, SnowSight , SQL)
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An understanding of the practical application of DevSecOps and Agile methodologies
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Certifications/Licenses (as applicable)
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