Data Platform Engineering role Strong software engineering experience and working with Python Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc Experience building ETL and stream processing pipelines using Kafka, Spark, Flink, Airflow/Prefect, etc. Familiarity with data science stack: e.g. Juypter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow More ❯
Sunnyvale, California, United States Hybrid/Remote Options
Genesis10
scale structured and unstructured data. Experience in creating and maintaining business-critical data warehouse tables using SQL. Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.). Background in at least one programming language (e.g., R, Python, Java, Scala, PHP, JavaScript). Suggested Skills: Data analytics Collaboration Communication Pay rate range: $40.35 More ❯
tools. - Develop data services APIs using Java and Python. - Create data visualizations using Tableau and other open-source technologies. - Build data pipelines for ETL/ELT processes using Spark, Presto and Airflow. - Drive best practices in data integrity, testing, analysis, validation, and documentation. Qualifications: - Masters in Computer Science or at least 4 years experience in data management and science More ❯
