IND Staff Data Engineer

The Hartford; Hinoba-an; On-site; PHP 5,646,000 - 7,528,000; Full time

Job summary

The Hartford is hiring an IND Staff Engineer to design, build, and operate data pipelines and analytics solutions. You will own end-to-end delivery across cloud and on-premise stacks, leveraging ELT techniques and modern DevOps to accelerate value.

You’ll partner with analytics, product, and operations teams to craft scalable data platforms and guide best practices in data engineering, DevSecOps, and governance.

Qualifications

• 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)

Responsibilities

• 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

Skills

Cloud data pipelines

Data consumption products

Cross-functional communication

Scaled Agile

DevOps practices

Code quality management

APIs

Automated testing

FinOps

Team collaboration

Tools

Talend Studio

Informatica

Tableau

Data Studio

AWS

EMR

S3

Snowflake

SnowSight

SQL

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)

About Us | Our Culture | What It’s Like to Work Here

Every day, a day to do right. Showing up for people isn’t just what we do. It’s what we are – and have been for more than 200 years. We’re devoted to finding innovative ways to serve our customers, communities and employees—continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it’s these values that drive all of us to do more and to do better every day.

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