AWS Data Engineer - Data Platform

Zinnia; Hyderabad; On-site; INR 2,200,000 - 3,400,000; Full time

Job summary

Zinnia is seeking a Data Engineer to build scalable data platforms and pipelines that power analytics and data-driven products. You will work with AWS core services, Snowflake, Airflow, dbt, and containerized deployments, collaborating with engineers, data scientists, and analysts in a fast-paced environment focused on insurance data platforms.

Ideal candidates have 4+ years in data platform engineering, strong SQL/Python skills, and hands-on experience with cloud data warehousing,

Qualifications

• 4+ years of experience in Data Platform Engineering.
• Hands-on experience with AWS core services (e.g., S3, IAM, compute).
• Good hands-on 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 MWAA.
• Experience/awareness with dbt, including dbt Cloud, for transformations and testing.
• Solid understanding of data modeling fundamentals.
• Comfort working in agile, cross-functional teams with engineers, analysts, and data scientists.
• Clear written and verbal communication skills.

Responsibilities

• Build and maintain scalable, reliable data platforms and pipelines that power analytics and data-driven products across Zinnia.
• Work within the data platform's AWS infrastructure — storage, IAM, compute and orchestration services.
• Implement telemetry and observability solutions for infrastructure and platform reliability.
• Provision and modify data infrastructure components (S3 buckets, IAM roles, Lambda, RDS/Aurora, compute resources) using Terraform, including Snowflake infrastructure.
• Familiarity with streaming or event-driven data (Kafka, Kinesis, or similar).
• Package, deploy, and manage pipeline components as containerized services (Docker, Kubernetes/EKS, ECS).
• Develop ELT/ETL workflows using Airflow, dbt, and Airbyte (or similar ingestion tools).
• Write documentation and follow established technical standards for the data platform.
• Contribute to data governance, access control, and cost-optimization practices within AWS and Snowflake.
• Troubleshoot pipeline and infrastructure issues with senior engineers.

Skills

SQL

Python

AWS

Snowflake

Airflow

dbt

Airbyte

Terraform

Kubernetes

ETL

Tools

MWAA

GitHub Actions

CI/CD pipelines

Job description

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.

WHO YOU ARE:

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 good 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.

WHAT YOU’LL DO:

• Build and maintain scalable, reliable data platforms and pipelines that power analytics and data-driven products across Zinnia.
• Work within the data platform's AWS infrastructure — storage, IAM, compute and orchestration services — implementing and tuning components under the guidance of senior engineers.
• Implement and integrate with telemetry and observability solutions for Infrastructure and Platform reliability.
• Provision and modify data infrastructure components (S3 buckets, IAM roles, Lambda, RDS/Aurora, compute resources) using Terraform, including Snowflake infrastructure-as-code (warehouses, roles, databases), working from existing modules and patterns.
• Familiarity with streaming or event-driven data (Kafka, Kinesis, or similar)
• Package, deploy, and manage pipeline components as containerized services (ex: Docker, Kubernetes/EKS, ECS), including EKS cluster upgrades and configuration changes
• Implement data quality checks, monitoring, and basic lineage so downstream teams can trust the data they're consuming.
• Contribute to data governance, access control, and cost-optimization practices within AWS and Snowflake.
• Troubleshoot pipeline and infrastructure issues, escalating and collaborating with senior engineers on complex or systemic problems.
• Write clear documentation and follow established technical standards for the data platform.
• Develop and maintain ELT/ETL workflows using Airflow, dbt, and Airbyte (or similar ingestion tools) for self-serve data access
• Familiarity with AI-assisted engineering tools and platforms (e.g., Claude, Cortex Code), LLM-based workflows, and agentic automation to support infrastructure and platform changes

WHAT YOU’LL NEED:

• 4+ years of experience in Data Platform Engineering
• Hands-on experience with AWS core services (e.g., S3, IAM, compute services)
• Good hands-on 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.

Nice to have:

• 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.

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.

India Standard Demographic Question

At Zinnia, we are committed to fostering an inclusive and diverse workplace. This question is asked solely for reporting purposes and will not influence the evaluation of your application or hiring decision.