Data Engineer/Tech Data Architect - Owings Mills, MD
Georgia Tek Systems
Owings Mills, MD
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JOB DETAILS
SKILLS
Adobe Product Family, Amazon Web Services (AWS), Apache Kafka, Cloud Computing, Data Processing, Data Warehousing, DataArchitect Data Modeling Tool, Database Design, Database Extract Transform and Load (ETL), Engineering, Git, Informatica, Jenkins, Marketing Software, Python Programming/Scripting Language, SQL (Structured Query Language), Snowflake Schema, Strategic Planning, Technical Strategy, United States Department of Energy (DOE)
LOCATION
Owings Mills, MD
POSTED
30+ days ago
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
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.
About the Company
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