Vacancy description
Zinnia - Employee Referral
$180 USD
India, Gurugram
Data Engineer (AWS, SQL) in Gurugram, India is listed on Jobeax. Browse 30,000+ vacancies available.
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. Zinnia has over $180 billion in assets under administration, serves 100+ carrier clients, 2500 distributors and partners, and over 2 million policyholders.
Our data team serves Zinnia through data engineering, data analysis, and data science. Our goal is to help uncover opportunities and make decisions with data. We partner with all department stakeholders across the company to develop deeper predictors of behavior, develop insights that drive business strategy and build solutions to optimize our internal and external experiences.
Overseeing technological choices and implementation of data pipelines and warehousing philosophy
Execute and serve as lead and/or SME on cross-organizational and cross-divisional projects automating our data value chain processes
Promoting technical best practices throughout the data organization
Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data.
Mentor data team members in architecture and coding techniques.
Serve as a source of knowledge for the Data Engineering team for process improvement, automation and new technologies available to enable best-in-class timeliness and data coverage
Design data pipelines utilizing ETL tools, event driven software, and other streaming software.
Partner with both data scientists and engineers to bring our amazing concepts to reality. This requires learning to speak the language of statisticians as well as software engineers.
Ensure reliability in data pipelines and enforce data governance, security and protection of our customer’s information while balancing tech debt.
Partner with product and engineering teams to design data models for downstream data maximization.
Evaluate and champion new engineering tools that help us move faster and scale our team
A Technical Bachelor/Master's Degree with 4+ years of experience across Data Engineering (Data Pipelining, Warehousing, ETL Tools etc.)
Extensive hands-on experience with data engineering techniques and Python & SQL
Strong working knowledge of Snowflake, Airflow and dbt
You are comfortable and have expertise in data engineering tooling such as Jira, git, buildkite, Terraform, and containers as well as GCP suite, terraform kubernetes, cloud functions
You understand standard ETL patterns, modern data warehousing ideas such as data mesh or data vaulting, and data quality practices regarding test driven design and data observability.
You are passionate about all things data: Big data, small data, moving and transforming it, its quality, its accessibility, and delivering value from it to internal and external clients
You want ownership to solve for and lead a team to deliver modern and efficient data pipeline components
You like to take risks when looking for novel solutions to complex problems. Python for data pipelining and automation.
Airbyte for ETL purpose
Google Cloud Platform (GCP)/AWS, Snowflake, Terraform, Kubernetes, Cloud SQL, Cloud Functions, BigQuery, DataStore, and more: we keep adopting new tools as we grow!
Airflow and dbt for data pipelining
Tableau and PowerBI for data visualization and consumer facing dashboards.
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 for more information. Apply by completing the online application on the careers section of our website. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
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