Senior ETL Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Who we are
DigiCert is a global leader in intelligent trust. We protect the digital world by ensuring the security privacy and authenticity of every interaction. Our AI-powered DigiCert ONE platform unifies PKI DNS and certificate lifecycle management to secure infrastructure software devices messages AI content and agents. Learn why more than 100000 organizations including 90% of the Fortune 500 choose DigiCert to stop todays threats and prepare for a quantum-safe future
Job summary
We are looking for a Senior ETL Engineer to design build and maintain scalable data pipelines that power analytics reporting and data-driven decision making across the organization. This role requires strong SQL and Python expertise hands-on Databricks experience and a deep understanding of data and how it is used to drive analytics and insights. You will work closely with data engineers analytics teams and business stakeholders to ensure high-quality reliable and well-modeled data that elevates our analytics capabilities.
What you will do
- Design develop and maintain robust ETL/ELT pipelines using SQL and Python working with large-scale datasets
- Build scalable and maintainable data workflows leveraging Spark / PySpark and cloud-based data platforms
- Translate business and analytical requirements into high-quality well-structured datasets
- Apply strong data modeling and data design principles to support downstream analytics and reporting
- Optimize data pipelines for performance reliability and cost efficiency
- Ensure data quality accuracy and consistency through validation testing and monitoring
- Partner closely with analytics and BI teams to enable trusted analytics-ready data
- Collaborate with analytics teams on reporting and dashboard needs to ensure data accuracy correctness and performance
- Troubleshoot and resolve data pipeline failures and data issues end-to-end
- Contribute to architectural decisions best practices and data engineering standards
- Participate in code reviews technical design discussions and platform improvements
- Mentor junior engineers and help elevate overall data engineering practices
- Document data pipelines workflows and operational processes
What you will have
- 5 years of experience in data engineering ETL development or a related role
- Strong proficiency in SQL and Python with hands-on experience building production-grade ETL pipelines using both
- Hands-on experience with Databricks Spark and PySpark
- Experience working with cloud data platforms (AWS Azure or GCP)
- Strong understanding of data warehousing concepts dimensional modeling and analytics-friendly data design
- A strong sense of data and how it supports analytics reporting and business insights
- Experience building batch and incremental data pipelines
- Familiarity with Git version control and CI/CD practices
- Strong problem-solving skills and ability to work independently on complex data challenges
- Clear communication skills and ability to collaborate across engineering and analytics teams
Nice to have
- Experience with streaming or near real-time data pipelines (Kafka Kinesis etc.)
- Familiarity with data quality observability and monitoring tools
- Experience supporting BI tools and analytics use cases
- Exposure to machine learning pipelines or feature engineering
- Prior experience mentoring or guiding junior engineers
- Experience working in Agile or Scrum environments
Benefits
- Generous time off policies
- Top shelf benefits
- Education wellness and lifestyle support
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Required Experience:
Senior IC
Key Skills
About Company
DigiCert is the leading TLS/SSL Certificate Authority specializing in digital trust for the real world through PKI, IoT, DNS, Document & Software security solutions.
