Data Engineer

About Us:
Perfict Global is a leading IT consulting services provider focused on providing innovative and successful business workforce solutions to Fortune 500 companies. Our trained and experienced professionals constantly strive to bring together the best technologies available to manage client's complex business and technology, participate in implementation activities and collaborate in new ways to meet client needs.
We provide excellent benefits such as Medical, Dental, Vision ++ a fun company to work!!!
Job description:

We have one submittal spot left for the role below- preferably we want a candidate located in Virginia, Maryland or Washington, DC that is willing to commute. We are open to candidates able to relocate within a reasonable amount of time. Details on role below-

Notes: Data Engineer

• Hands on with 5+ Data Engineering space/build framework- looking for more of a Data Engineer/ cloud architect title.
• SQL, snowflake and python code are a must.
• Expected to know python (code in python), pyspark and some data stacks like spark or snowflake.
• Experience with ELT/ airflow.
• Database modelling. Jenkins / GITlab.
• 1-2 step interview
• Going onsite 2x a week is a MUST.

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