Data Engineer

GeorgiaTEK Systems Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

GeorgiaTEK Systems Inc. seeks a Data Engineer/Tech Data Architect for hands-on data engineering work within the Distribution & Marketing Solutions Architecture team.

You will steer strategic technology direction, define target state architecture, roadmaps and help build reference implementations in partnership with Platform Engineering teams.

Qualifications

• 5+ years of hands-on experience as a data engineer.
• Experience with SQL and Python/PySpark for data processing.
• Experience with modern data stack on cloud platforms (AWS) and data warehousing.
• Experience building ETL/ELT pipelines and reference implementations.

Responsibilities

• Hands-on data engineering work to implement data solutions.
• Define target state architecture and roadmaps while steering strategic technology direction.
• Help build reference implementations in partnership with Platform Engineering teams.

Skills

Data engineering

SQL

Python

PySpark

Spark

Adobe Experience Platform Integration

ETL/ELT pipelines

Data modeling

Git

Jenkins

GitLab CI

Airflow

dbt

Great Expectations

Snowflake

AWS

Kafka

CockroachDB

Postgres

Tools

Snowflake

AWS

Airflow

Kafka

CockroachDB

Postgres

Git

Jenkins

GitLab CI

dbt

Great Expectations

Job description

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.

• 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:

• 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