PatternAI, Inc.
Senior Data Engineer
San Mateo, CA, United States · Senior
Sponsorship not specifiedDetected 1610 days ago
PythonGitSQLNoSQLPostgreSQLMySQLMongoDBBigQuerySnowflakeRedshiftAWSDockerMachine LearningAirflowdbtData Engineering
About the role
- The hire will be responsible for expanding and optimizing our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
- About PatternAI PatternAI is an early stage startup that is growing rapidly and recently closed a successful round of venture funding.
- All your information will be kept confidential according to EEO guidelines.
Responsibilities
- Develop warehouse architectures that integrate data from diverse sources.
- Design analytics solutions for both product development and internal collaborators.
Nice to have
- A minimum of 4 years experience in data engineering, analytics engineering, or software engineering with an emphasis on large scale data management and processing systems.
- Proficiency in Python and advanced SQL.
- Advanced experience with ETL pipelines, data modeling and managing data warehouses (Snowflake, BigQuery, Redshift, etc).
- Experience with SQL RDBMS such as MySQL, Postgres, Oracle, SQL Server, etc., as well as NoSQL systems such as MongoDB is required.
- Experience with tools including Meltano, dbt, Airflow, and Superset is required.
- Experience with Docker, Git and AWS (EC2, ECS, S3, Step Functions, and Athena).
- Analytics and Business Intelligence knowledge is highly preferred.
- Experience working with common SaaS APIs (such as CRMs) is preferred.
Benefits
- Build and deploy the data pipelines that power PatternAI's machine learning platform.
- We are emerging from stealth and with an exciting series of machine learning products and a rapidly growing number of enterprise customers.
Company info
- PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems.
- We are looking for a savvy Data Engineer to join our growing team of data experts.
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