IND Staff Engineer, Data

The Hartford; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

The Hartford in the Philippines is seeking an IND Staff Engineer to help build small to medium data pipelines and data products, delivering end-to-end solutions across multiple platforms and technologies.

You will implement CI/CD aligned with Enterprise DevOps, guide data engineering practices, document requirements, and stay current with AWS, Hadoop/EMR, Spark, Kafka, Snowflake, and Talend to drive scalable analytics.

Qualifications

• Data engineering experience with best practices in programming, SDLC and distributed systems.
• Production workloads in cloud infrastructure.
• Experience with SDLC and agile/iterative methodologies.

Responsibilities

• Accountable for building small to medium scale data pipelines and data products.
• Provide end-to-end solution delivery across multiple platforms and technologies.
• Implement CI/CD aligned with Enterprise DevOps practices.
• Document requirements and present technical concepts to audiences of varying size and level.
• Stay up-to-date on emerging data and analytics technologies and frameworks.

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: Data engineering experience with demonstration of best practices in Programming, SDLC practices, Distributed systems 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 who 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.