IND - Associate Engineer, Data

Reposted 3 Days Ago
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Puppalagunda, Manikonda, Rangareddy, Telangana, IND
In-Office
Entry level
Fintech • Payments • Financial Services
The Role
The Associate Engineer, Data position involves developing AI data pipelines, implementing robust data streaming architectures, and collaborating with teams to maintain data systems for analytics and AI solutions.
Summary Generated by Built In
IND Associate Engineer, Data - GCC061

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.

Key Responsibilities 

  • Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.  

  • Implement efficient Retrieval-Augmented Generation (RAG) architectures and integration with enterprise data infrastructure.  

  • Build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar. 

  • Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc. 

  • Develop AI-driven systems to improve data capabilities 

  • Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management. 

  • Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems. 

 

 

Required Skills & Experience 

  • Bachelor's degree in computer science, Artificial Intelligence, or related field. 

  • 2 years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark, Datamesh, Datalake or Data Fabric.  

  • Less than 2 years of experience will be considered with advanced degree & applicable internship experience. 

  • 1+ years' experience with cloud platforms (AWS, GCP, or Azure) 

  • 1+ years of data engineering experience focused on supporting AI technologies. 

  • 1+ years implementing AI data solutions. 

  • 1+ years with prompt engineering techniques for large language models. 

  • 1+ years in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. 

  • 1+ years implementing AI driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain, Langgraph). 

  • 1+ years of programming skills in Python  

  • 1+ years with building AI pipelines that bring together structured, semi-structured and unstructured data.   

  • 1+ years in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.). 

  • Strong written and verbal communication skills 

  • Able to communicate effectively with technical teams   

  • Team player who collaborates effectively across teams   

  • Strong organization and execution skills. 

  • Strong interpersonal and time management skills  

  • Ability to work successfully in a lean, agile, and fast-paced organization, leveraging Agile principles and ways of working.  

  • Ability to translate technical topics into business solutions and strategies 

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

Skills Required

  • Bachelor's degree in computer science, Artificial Intelligence, or related field
  • 2 years of data engineering experience
  • 1+ years experience with cloud platforms (AWS, GCP, or Azure)
  • Programming skills in Python
  • 1+ years implementing AI data solutions

The Hartford Financial Services Group, Inc. Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Hartford Financial Services Group, Inc. and has not been reviewed or approved by The Hartford Financial Services Group, Inc..

  • Retirement Support The retirement savings plan pairs matching with an additional company contribution and guidance, strengthening long‑term financial security. Consistent 401(k) generosity elevates perceived total compensation across roles.
  • Leave & Time Off Breadth Paid time off, holidays, and paid leaves are described as generous and accessible, supporting work‑life balance. The ability to take meaningful time away adds value beyond base pay.
  • Healthcare Strength Health, dental, and vision options are comprehensive, with supplemental coverages that help manage out‑of‑pocket costs. Mental health resources, EAP access, and wellness programs further reinforce overall benefits value.

The Hartford Financial Services Group, Inc. Insights

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The Company
HQ: Hartford, Connecticut
20,002 Employees
Year Founded: 1810

What We Do

Human achievement is at the heart of what we do. We put our belief into action by not only ensuring individuals and businesses are well protected, but by going even further – making an impact in ways that go beyond an insurance policy

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