19 Jun
Big Data Engineer (9+ Years)
Vacancy expired!
- Python, SQL, Spark, Hive, Hadoop, Pandas
- Airflow for Scheduling
- AWS is a must have – must understand how services work, what buckets are.
- Experience with Redshift/ Redshift Spectrum/Athena and columnar file formats like parquet.
- Experience with SQL and modeling Time Series/Temporal datasets.
- Linux
- Preferred – some experience on working with data science, and typical consumption patterns. Experience working with large data sets will be preferred.
- Knowledge of Databricks is a plus.
- CST and EST time zones work – the team is largely based out of Chicago and Austin.
Vacancy expired!