5 platform data engineer jobs at 1 company in Progreso, TX
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CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
1+ YOEBachelor's degree in a technical field, 1+ year data-engineering experience, proficiency in Python and SQL, experience with ETL/ELT, Spark, Databricks or Snowflake, cloud platform experience, and strong communication skills.
Python, SQL, Apache Spark, PySpark, SparkSQL, Databricks, Snowflake, AWS, Azure, Google Cloud, Kafka, Flink, Airflow, Dagster, Prefect, PI Integrator, Camstar, Maximo, Microsoft SQL Server, PostgreSQL
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
3+ YOEBachelors in a technical field, 3+ years data engineering experience, 2+ years Python, Spark/PySpark, advanced SQL, cloud platform experience (AWS preferred), manufacturing or operational data experience.
Python, Apache Spark, PySpark, SparkSQL, SQL, AWS, Azure, Google Cloud, Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, Microsoft SQL Server, Kafka, Flink, Airflow, Dagster, Prefect, PI Integrator, Camstar, Maximo, LangChain, LlamaIndex, Semantic Kernel
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
3+ YOEBachelor's in a technical field, 3+ years data engineering experience, 2+ years Python, Spark/PySpark, advanced SQL, cloud platform experience (AWS preferred), manufacturing or operational data experience.
Python, Apache Spark, PySpark, SparkSQL, SQL, AWS, Azure, Google Cloud, Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, Microsoft SQL Server, Kafka, Flink, Airflow, Dagster, Prefect, PI Integrator, Camstar, Maximo, LangChain, LlamaIndex, Semantic Kernel
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
5+ YOEBachelor's in a technical field, 5+ years data engineering experience, strong Python and SQL skills, Spark and cloud platform experience, technical leadership and manufacturing data experience.
CorningNYSE: GLW: Develops and manufactures specialty glass, ceramics, and optical fiber.
5+ YOEBachelor's degree in a technical discipline,5+ years Data Engineering experience,5+ years Python programming,strong SQL and distributed-processing (Spark/PySpark),cloud platform experience (AWS preferred),manufacturing or time-series data experience.
Python, SQL, Apache Spark, PySpark, SparkSQL, AWS, Azure, Google Cloud, Databricks, Snowflake, Delta Lake, Parquet, Iceberg, PostgreSQL, MySQL, Oracle, Microsoft SQL Server, Kafka, Flink, Airflow, Dagster, Prefect, LangChain, LlamaIndex, Semantic Kernel, Terraform, CloudFormation, Informatica, MuleSoft, SSIS, PI Integrator, Camstar, Maximo