- Design and develop scalable data pipelines with tools such as Kafka, Fivetran, Snowflake, Airflow, and dbt.
- Lead the implementation and maintenance of data platform solutions.
- Collaborate with cross-functional teams to deliver high-quality data solutions.
- Evaluate and implement best practices for data processes and quality.
- Optimize data workflows and SQL queries for efficiency.
- Provide mentorship to junior data engineers.
- Stay updated on data engineering trends and technologies.
- Collaborate with infrastructure teams for reliable data solutions.
- Support SEV-1 Incidents.
- Bachelor's degree in Computer Science or related field.
- 5+ years of experience in data engineering.
- Expertise in Snowflake, Airflow, dbt, and SQL.
- Knowledge of data warehousing and cloud platforms.
- Strong programming skills in Python.
- Problem-solving abilities and attention to detail.
- Excellent communication and leadership skills.
- Experience with data processing frameworks like Apache Kafka.
- Familiarity with containerization technologies.
- Knowledge of distributed computing frameworks.
- Experience with data governance and DevOps principles.
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Lead Data Engineer - San Bernardino, United States - New Relic
Description
Lead Data Engineer at New Relic
About the Company: New Relic is seeking a highly skilled Lead Data Engineer to join their Data Platform Team remotely. As a Lead Data Engineer, you will be instrumental in designing and maintaining robust data pipelines using technologies like Snowflake, Airflow, and dbt.
What you'll do:
This role requires:
Bonus points if you have:
If you're passionate about making an impact using data and are looking to join a team that values authenticity and accountability, New Relic invites you to apply. Embrace a workforce model that allows flexibility and professional growth through Flex First.
Our hiring process: Visa sponsorship available. Background check required. Diversity is celebrated at New Relic.