LendingTree is seeking to develop and scale its enterprise data platform to power analytics and machine learning teams while championing data integrations into marketing platforms.
Requirements
- Expert level experience & knowledge on Cloud Data Warehouse like Snowflake, Databricks, Redshift, or Big Query
- Strong Experience with BigData Tools – Kafka, Spark Streaming, AWS Kinesis
- Extensive experience with modern ETL tools like – Talend, DBT, Stitch, Xplenty etc.
- Experience with NoSQL Databases like MongoDB, AWS DynamoDB, Elastic Search, Couchbase etc.
- Experience in building, supporting & optimizing cloud infrastructure resources
- Expertise in at least 1 programming language (python, Java, Scala etc.)
- Experience with RESTful API’s, AWS Fargate, AWS Gateway API, Lambda
Responsibilities
- Define target state architecture for LendingTree’s Cloud Data Platform starting with Marketing domain data sources
- Create real-time streaming data pipelines for multiple sources and data types
- Develop, and support customer data warehouse platform and data service applications spanning multiple verticals
- Participate in on-call rotation for off-hours support
- Assist as an individual contributor to an Agile Product Team
- Define and oversee implementation execution for Operational Cloud Data Lake
- Provide mentorship and train staff on standards and policies around best data engineering practices
Other
- 8+ years of experience in Big Data Platform Management and Lifecycle
- Excellent verbal and written communication skills
- S. in Computer Science or equivalent
- Unlimited vacation days
- Great benefits and good work life balance
- Dress code – we don’t have one
- Onsite gym and convenience store
