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Zinnia
Gurugram, Haryana, India; Hyderabad; Noida, Uttar Pradesh, India; Pune, Maharashtra, India
Source: Zinnia careers · View original posting
From Zinnia's posting. “We” and “our” refer to the employer.
Zinnia is the leading technology platform for accelerating life and annuities growth. With innovative enterprise solutions and data insights, Zinnia simplifies the experience of buying, selling, and administering insurance products. All of which enables more people to protect their financial futures. Our success is driven by a commitment to three core values: be bold, team up, deliver value – and that we do.
Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
You are a Data Engineer who wants to go deep on platform and infrastructure work — building the pipelines, storage, and platform foundations that the rest of the business builds on. You think in terms of well-modeled data, reliable orchestration, and infrastructure that holds up under real production load.
You are comfortable with SQL and Python, know your way around AWS core services, and can take a clear set of requirements and turn them into solid, well-tested outcomes. You are curious about how data platforms can be setup, scaled, integrated in the wider application ecosystem and resulting data feeds downstream analytics and machine learning use cases.
4+ years of experience in Data Engineering, with a focus on Data
Hands-on experience with AWS core services (e.g., S3, IAM, compute services)
Strong proficiency in SQL and Python for data transformation and pipeline development.
Experience with a cloud data warehouse such as Snowflake or similar.
Working knowledge of Airflow for orchestration and scheduling, including managed Airflow (MWAA) or similar hosted-Airflow configuration and environment management.
Experience/awareness with dbt, including dbt Cloud, for transformations, testing, documentation, and job/environment configuration.
Solid understanding of data modeling fundamentals (dimensional and fact-based designs).
Comfort working in agile, cross-functional teams alongside more senior engineers, analysts, and data scientists.
Clear written and verbal communication skills.
Exposure to MLOps concepts — training data pipelines, feature generation, or model monitoring data.
Experience with Airbyte or similar ELT ingestion tools.
Familiarity with CI/CD practices for data pipelines, including building and maintaining GitHub repositories and GitHub Actions pipelines.
Experience in a regulated industry such as insurance or financial services.
WHAT’S IN IT FOR YOU?
At Zinnia, you collaborate with smart, creative professionals who are dedicated to delivering cutting-edge technologies, deeper data insights, and enhanced services to transform how insurance is done. Visit our website at www.zinnia.com for more information. Apply by completing the online application on the careers section of our website. We are an Equal Opportunity employer committed to a diverse workforce.
We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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