Job 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 pipeline and data products. Provides end-to-end solution delivery involving multiple platforms and technologies with small to medium complexity, leveraging ELT solutions to acquire, 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 understanding of the practical application of DevSecOps and Agile methodologies
- Certifications/Licenses (as applicable)
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