YOUR MISSION
As a Staff Data Engineer on the Data Platform team, you will grow our business by leveraging advanced data engineering techniques to enhance our data architecture and streamline data ingestion processes. Your expertise will be instrumental in improving our data-driven product offerings, and in providing valuable insights that drive strategic decision-making, thus helping us grow globally.
WHAT YOU'LL DO

Design, implement, and maintain scalable and optimized data architectures that meet our evolving business needs
Lead and contribute hands-on to major initiatives from inception to delivery
Evaluate and recommend appropriate data storage solutions, ensuring data accessibility and integrity
Establish monitoring and alerting systems to proactively identify and address potential data pipeline issues
Continuously optimize data ingestion processes for improved reliability and performance
Support Data infrastructure needs such as cluster management and permission
Work closely with product teams to data-driven features and enhancements into our products and services
Collaborate with data modelers and data analysts to provide them with high-quality, clean, and well-structured data
Provide technical guidance and mentorship to senior data engineers, fostering a collaborative and high-performance environment

WHAT YOU'LL BRING

6+ years of experience in data engineering, with a strong focus on data architecture and data ingestion
Strong background as a tech lead or architect
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field
Proficiency in Databricks, Redshift, S3, Astronomer/Airflow, Fivetran, Segment, DBT, ETL processes and data integration techniques
Proficiency in Data Engineering programming languages such as Python, Scala and SQL
Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform)
A passion for working with data and turning insights into action
Proven track record of designing and optimizing data pipelines for efficiency and accuracy
An undying concern about data quality and a commitment to maintaining high standards
A willingness to take ownership of projects and see them through to successful completion
Experience with cloud-based data platforms like AWS, Azure, or Google Cloud Platform
Expert knowledge of big data technologies such as Hadoop, Spark, or NoSQL databases
Knowledge of data governance and security practices
Excellent command of English, both written and verbal
Ability to work independently from a remote location with a global team

NICE TO HAVE

Experience with migrating from Redshift to Databricks