IND Staff Engineer, Data

thehartford; Hyderabad; Hybrid; INR 1,800,000 - 2,600,000; Full time

Job summary

The Hartford in Hyderabad, India is seeking an IND Staff Engineer to shape and deliver data pipelines and analytics solutions. You will drive end-to-end data engineering across platforms, implementing CI/CD and DevOps best practices, with a focus on scalable data products and enterprise data architecture.

Ideal candidates will have strong SDLC experience, cloud data engineering skills, and the ability to collaborate with cross-functional teams to translate requirements into robust technical

Qualifications

• Data engineering experience with SDLC and agile/iterative methodologies.
• Experience building production cloud data pipelines.
• Ability to operate in a fast-paced, lean environment.
• Experience with source code management, branching, issue tracking, access controls.
• Strong written and verbal communication skills.

Responsibilities

• Accountable for building small or medium scale data pipelines and data products.
• Provides input to influence solution design across platforms and technologies.
• Build and implement CI/CD capabilities aligned with DevOps practices.
• Own data engineering practices including SCM, branching, and access controls.
• Provide documentation and operating guidance for users at all levels.
• Research and apply leading data technologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake).
• Support strategy, roadmaps and implementations for projects and portfolios.

Skills

Cloud data pipelines

CI/CD

DevOps practices

Cross-functional work

Tools

Talend Studio

Informatica

Tableau

Spark

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)

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