IND Senior Engineer, Data
The Hartford
India GCC-Puppalaguda VillagePosted Discovered via the company's careers siteMatch locked
Full time2+ years exp
About the role
IND Senior Engineer - GCC096
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
- Develop and optimize large-scale data pipelines and workflows using Snowflake, Google Cloud , and AWS services to support data integration and storage needs.
- Lead development of complex ETL processes and SQL-based transformations to support data analysis, reporting, and advanced insights across the organization.
- Implement and enhance data solutions using AWS services (e.g., S3, EC2, Lambda, Fargate , SQS ), and
GCP BigQuery
, STS,
Cloud Functions
, and
Vertex AI
for scalable ML and data workflows.
- Develop advanced Python scripts to automate data processing and integration, including
prompt-driven interactions with generative AI models
and autonomous agents.
- Collaborate with analysts and stakeholders to support data visualization needs in ThoughtSpot and Tableau , designing robust and scalable reporting solutions.
- Establish data quality standards and perform thorough validation and testing, including validation of AI-generated outputs.
- Mentor and guide junior and associate data engineers, providing technical direction and promoting best practices in AI-integrated data workflows.
- Perform code reviews, troubleshoot performance issues, and lead optimization efforts to improve data processing efficiency and scalability.
- Stay current with emerging technologies in data engineering and AI, including
generative AI principles
,
prompt engineering
, knowledge base creation, semantic layer generation,
agentic frameworks
, and
GCP data stack tools
.
Qualifications
- Bachelor' s degree in Computer Science , Data Science, Information Systems, or a related field
- 2-4 years of experience in data engineering, with advanced expertise in Snowflake, SQL, and ETL processes.
- Strong proficiency in Python for complex data processing, automation, and integration tasks, including
prompt engineering for generative AI workflows
.
- H ands-on experience with AWS services (e.g., S3, EC2, Lambda, Fargate); experience with
GCP data tools
such as
BigQuery
,
Cloud Functions
, and
Vertex AI
is highly desirable.
- Experience in managing and deploying CICD pipelines across data and cloud platform services using Jenkins, Terr aform, Harness and ADK
- Proficiency with data visualization tools, particularly ThoughtSpot, for supporting scalable and impactful reporting.
- Experience in Informatica or similar ETL tools, with the ability to lead data integration and transformation efforts.
- Experience implementing
generative AI solutions
, including model orchestration, output validation, and integration into data workflows.
- Familiarity with
agentic AI frameworks
and autonomous data orchestration tools.
- Strong problem-solving skills with a focus on data quality, accuracy, and efficiency.
- Excellent communication skills, with the ability to work collaboratively across teams and present technical concepts to non-technical stakeholders.
- Proven experience mentoring and leading junior team members, with a commitment to fostering a collaborative team environment.
About Us | Our Culture | What It's Like to Work Here
Not included in the source posting: about the role, benefits.
Skills
artificial-intelligencegenerative-aietlgcpawsbigquerypythonsnowflakesqlci-cdjenkinsterraform
Who can apply
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