ByteWave Digital

Required Credentials:
Google Professional Data Engineer Certified or able to complete within the first 120 days of employment

Required Qualifications:
Data warehouse modernization: building complete data warehouse solutions, including technical architectures, star/snowflake schema designs, infrastructure components, ETL/ELT pipelines, and reporting/analytic tools. Must have hands-on experience working with batch or streaming data processing software (such as Beam, Airflow, Hadoop, Spark, Hive).

Data migration: migrating data stores to reliable and scalable cloud-based stores, including strategies for near zero-downtime.

Backup, restore & disaster recovery: building production-grade data backup and restore, and disaster recovery solutions. Up to petabytes in scale.
Experience writing software in one or more languages such as Python, Java, Scala, or Go

Experience building production-grade data solutions (relational and NoSQL)
Experience with systems

monitoring/alerting, capacity planning and performance tuning

Experience in technical consulting or customer-facing role

Useful Qualifications:
Experience working with Google Cloud data products (CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer, etc)

Experience with IoT architectures and building real-time data streaming pipelines

Experience operationalizing machine learning models on large datasets
Demonstrated leadership and self-direction -- a willingness to teach others and learn new techniques

Demonstrated skills in selecting the right statistical tools given a data analysis problem