HYDERABAD · FULLTIME
Data Engineer III - Data Platform
Se2
Hyderabad · onsite · Posted 41d ago
Sourced from
Undisclosed4–9 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
Responsibilities
Requirements
Nice to have
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
Responsibilities
- Build and maintain scalable, reliable data platforms and pipelines that power analytics and data-driven products across Zinnia.
- Work within the data platforms 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
Requirements
- 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.
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
AutomationAgileData EngineerclaudeAuroraamazon web servicesBuyingdata infrastructureapache airflowAnalyticsAws InfrastructureAWS Core ServicesCloud DataData EngineeringcloudCommunication SkillsData GovernanceAdministrationArtificial Intelligence
Section · Company
About Se2
Se2
2.5k+
employees
₹6.3L PA avg
Avg at Se2
About
Zinnia simplifies insurance. Our comprehensive solutions better enable carriers and advisors to build, sell, and service life insurance & annuities, ultimately helping more people get the coverage they need and the service they deserve. Zinnias business lines include Carrier Solutions, providing digital third-party administration services; Distributor Solutions, offering technology & professional services for advisors; and the Policygenius consumer marketplace. Zinnia, an Eldridge company, is also backed by funds managed by KKR, a leading global investment firm.
Employee ratings
10 reviews
3.3/ 5
Culture
2.6
Career growth
2.3
Work-life
2.5
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