Staff Data Engineer
Staff Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
WHO WE ARE:
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:
As a seasoned Data Engineer specializing in data engineering you bring extensive expertise in optimizing data workflows using various database tools like Oracle BigQuery and SQL Server. You possess a deep understanding of ELT/ETL processes data integration and have a strong command of Python for data manipulation and automation tasks. You will possess advanced expertise in working with data platforms like Google Big Query DBT Python and Airflow. Responsible for designing and maintaining scalable ETL pipelines optimizing complex data systems and ensuring smooth data flow across different platforms. As a Senior Data Engineer you will also be required to work collaboratively in a team and contribute to building data infrastructure that drives business insights
WHAT YOULL DO:
- Design develop and optimize complex ETL pipelines that integrate large data sets from various sources.
- Build and maintain highperformance data models using Google BigQuery and DBT for data transformation.
- Develop Python scripts for data ingestion transformation and automation.
- Implement and manage data workflows using Apache Airflow for scheduling and orchestration.
- Collaborate with data scientists analysts and other stakeholders to ensure data availability reliability and performance.
- Troubleshoot and optimize data systems identifying issues and resolving them proactively.
- Work on cloudbased platforms particularly AWS to leverage scalability and storage options for data pipelines.
- Ensure data integrity consistency and security across systems.
- Take ownership of endtoend data engineering tasks while mentoring junior team members.
- Continuously improve processes and technologies for more efficient data processing and delivery.
- Act as a key contributor to developing and supporting complex data architectures.
WHAT YOULL NEED:
- Bachelors degree in computer science Information Technology or a related field.
- 6 years of handson experience in Data Engineering or related fields with a strong background in building and optimizing data pipelines
- Strong proficiency in Google Big Query including designing and optimizing queries.
- Advanced knowledge of DBT for data transformation and model management.
- Proficiency in Python for data engineering tasks including scripting data manipulation and automation.
- Solid experience with Apache Airflow for workflow orchestration and task automation.
- Extensive experience in building and maintaining ETL pipelines.
- Familiarity with cloud platforms particularly AWS (Amazon Web Services) including tools like S3 Lambda Redshift or Glue.
- Java knowledge is a plus.
- Excellent problemsolving and troubleshooting abilities.
- Strong communication and collaboration skills with the ability to work effectively in a team environment.
- Selfmotivated detailoriented and able to work with minimal supervision.
- Ability to manage multiple priorities and deadlines in a fastpaced environment.
- Experience with other cloud platforms (e.g. GCP Azure) is a plus.
- Knowledge of data warehousing best practices and architecture.
WHATS IN IT FOR YOU
At Zinnia you collaborate with smart creative professionals who are dedicated to delivering cuttingedge 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 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
#LISC1
Required Experience:
Staff IC
Employment Type
Full-Time
