Apply📍 United States
💸 165000.0 - 190000.0 USD per year
🔍 Software Development
- 5+ years experience in data engineering
- 5+ years demonstrated experience with Spark & PySpark
- 5+ demonstrated experience with a variety of JSON, data parsing, XML, YAML, unstructured and structured data
- 5+ years with python best practices for coding and documentation
- 5+ years experience with BI (tableau reporting) visualization & database experience (postgres, sqlserver, and snowflake) and distributed databases (hadoop, databricks)
- Strong SQL knowledge
- Working in Azure or AWS
- Collaborate with application engineers, data scientists, product managers, and technical support (CX team)
- Implement data pipelines from RDBMS, application logs and unstructured data sources
- Implement data aggregation, data cubes, verification, and cleansing solutions
- Work with devops engineers to design scalable cloud solutions
- Write readable, maintainable code for agile development in a highly collaborative workspace
- Plan new data acquisition, storage and maintenance solutions
- Work with application engineers to create efficient, reliable data products for ingestion into other applications
- Develop data engineering model and best practices for a growing data-centric organization
AWSPostgreSQLPythonSQLHadoopSnowflakeTableauData engineeringSparkJSONData visualization
Posted 23 days ago
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