Georgia IT Inc
Data Engineer/Tech Data Architect - Owings Mills, MD
Georgia IT Inc, Owings Mills, Maryland, United States, 21117
Title - Data Engineer/Tech Data Architect
Location - Owings Mills, MD
Rate - DOE
Start Date - Immediately
Detailed JD Looking for a Data Engineer/Tech Data Architect specializing in Hands on data engineering work for our technology & business partners. You will be part of the Distribution & Marketing Solutions Architecture team and steer strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership with our Platform Engineering teams. Tech Architect Job Responsibilities
At least 5+ years' experience as a data engineer Experience in Adobe Experience Platform Integration patterns Experience in building framework and reference Implementations Experience in SQL is a must Experience coding in python, pyspark for server side/data processing 2+ years' experience using modern data stack (spark, snowflake) on cloud platforms (AWS) Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus) Experience with Database Modeling, Normalization techniques Experience with dev ops tools like Git, Jenkins, Gitlab CI Skills that would be a plus: ETL tools (Informatica, Snaplogic, dbt etc.) Experience with Snowflake or other Cloud Data warehousing products Exposure with Workflow management tools such as Airflow Exposure to messaging platforms such as Kafka Exposure to New SQL platforms such as Cockroachdb, Postgres etc.
Detailed JD Looking for a Data Engineer/Tech Data Architect specializing in Hands on data engineering work for our technology & business partners. You will be part of the Distribution & Marketing Solutions Architecture team and steer strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership with our Platform Engineering teams. Tech Architect Job Responsibilities
At least 5+ years' experience as a data engineer Experience in Adobe Experience Platform Integration patterns Experience in building framework and reference Implementations Experience in SQL is a must Experience coding in python, pyspark for server side/data processing 2+ years' experience using modern data stack (spark, snowflake) on cloud platforms (AWS) Experience building ETL/ELT pipelines for complex data engineering projects (using Airflow, dbt, Great Expectations would be a plus) Experience with Database Modeling, Normalization techniques Experience with dev ops tools like Git, Jenkins, Gitlab CI Skills that would be a plus: ETL tools (Informatica, Snaplogic, dbt etc.) Experience with Snowflake or other Cloud Data warehousing products Exposure with Workflow management tools such as Airflow Exposure to messaging platforms such as Kafka Exposure to New SQL platforms such as Cockroachdb, Postgres etc.