IND Staff Data Engineer

The Hartford India; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

The Hartford India is seeking an IND Staff Engineer to build data pipelines and data products, delivering end-to-end solutions across cloud and on-premises environments. You will influence design, implement CI/CD, and uphold data engineering practices.

You will collaborate with cross-functional teams, apply big data technologies such as AWS, Hadoop/EMR, Spark, Kafka, Snowflake and Talend, and help shape the portfolio strategy and roadmap for analytics initiatives.

Qualifications

• Experience in building data pipelines and data products.
• Familiar with CI/CD and DevOps practices for data platforms.
• Ability to work with cross-functional teams and communicate clearly.
• Knowledge of big data technologies and cloud/on-prem hybrid hosting.
• Experience with data warehousing and analytics tools.

Responsibilities

• Influence solution design and build data pipelines and products.
• Implement CI/CD and DevOps practices for the data platform.
• Uphold data engineering standards, including source control and testing.
• Document requirements and present technical concepts to varied audiences.
• Research and apply big data technologies (AWS, Hadoop/EMR, Spark, Kafka, Snowflake, Talend).
• Support project and portfolio strategy, roadmaps, and implementations.

Skills

Data engineering

Cloud data pipelines

CI/CD

Cross-functional collaboration

DevOps practices

Spark

Kafka

Tools

Talend Studio

Informatica

Tableau

Data Studio

Snowflake

AWS

EMR

Job description

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 buildingAbility 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

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)