Data Engineer - ETL with Python, Hadoop & SnowflakeResponsibilitiesOrganize business needs into ETL/ELT logical models and ensure data structures are designed for flexibility to support scalability of business solutions. Craft and implement data pipelines utilizing Glue, Lambda, Spark, and Python. Define and deliver reusable components for ETL/ELT framework.Define optimal data flow for system integration and data migration. Integrate new data management technologies and software engineering tools into existing structures.QualificationsExperienced in Design, Development, and Implementation of large-scale projects in financial industries using Data Warehousing ETL tools (Pentaho).
Experience in creating ETL transformations and jobs using Pentaho Kettle Spoon designer and Pentaho Data Integration Designer and scheduling. Strong knowledge and experience of SQL, Snowflake, Python and Spark.
Experience with Big Data/distributed frameworks such as Spark, Kubernetes, Hadoop, and Hive. Ability to design ETL/ELT solutions based on user reporting and archival requirements. Strong sense of customer service to consistently and effectively address client needs. Self-motivated; comfortable working independently under general direction.Required Skills: Spark, Python, Snowflake, Airflow, Hadoop