Job Description

Job Title:
Data Engineer/Tech Data Architect

Location:
Need to be able to work in hybrid model out of Owings Mills Office (2 days in office, 3 days remote). No exception to this.

Job Description:
Our client is 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.

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.
2+ 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.