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Senior Analytics Engineer

Posted 2024-10-24

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💎 Seniority level: Senior, 3+ years

📍 Location: United States

🔍 Industry: Technology/Analytics

🏢 Company: Fetch

🗣️ Languages: English

⏳ Experience: 3+ years

🪄 Skills: AWSPythonSQLBusiness IntelligenceDynamoDBETLGCPMongoDBSnowflakeTableauAirflowAzurePostgresRedisNosqlCI/CD

Requirements:
  • 3+ years of professional experience in a technical role requiring advance knowledge of SQL.
  • Understand the difference between SQL that works and SQL that performs.
  • Experience with data modeling and orchestration tools.
  • Experience with relational (SQL) and non-relational (NoSQL) databases.
  • Experience with object data stores (e.g., Snowflake, MongoDB, S3, HDFS, Postgres, Redis, DynamoDB).
  • Understanding of ETL vs. ELT processes, data warehouses, and business intelligence tools.
  • Experience clearly communicating about data with internal and external stakeholders from both technical and nontechnical backgrounds.
  • Ability to thrive in a highly autonomous, matrixed organization and manage multiple, concurrent work streams.
Responsibilities:
  • Model and analyze data utilizing SQL best practices for OLAP / OLTP query and database performance.
  • Leverage Data Build Tool (DBT), Snowflake, Airflow, AWS infrastructure, CI/CD, testing, and engineering best practices.
  • Generate innovative approaches to datasets with millions of daily active users and terabytes of data.
  • Translate business requirements for near-real-time actionable insights into data models and artifacts.
  • Communicate findings clearly both verbally and in writing to a broad range of stakeholders.
  • Perform administrative duties for Snowflake, Tableau, and DBT/Airflow infrastructure.
  • Test, monitor, and report on data health and data quality.
  • Lead the charge on data documentation and data discovery initiatives.
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