Senior Data Engineer

Aita Consulting Services, Inc

Job Location:

Glendale, WI - USA

Monthly Salary: Not Disclosed

Posted on: 5 days ago

Vacancies: 1 Vacancy

Job Summary

Fulltime Position

4 Days/Week Onsite

Key Responsibilities:

Create and maintain Data Platform pipelines
Create Conceptual Logical and Physical data models
Design table structures using DBT and define data pipelines to build performant reliable and scalable data solutions in a fast-growing data ecosystem.
Collaborate with other data engineers data scientists and cross-functional teams.
Fluency with data engineering concepts and platforms (AWS: S3 Lambda SNS SQS...; Iceberg) data platforms (Snowflake) governance (data contracts) transformation and orchestration (dbt Airflow).
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Collaborate with product managers architects and other engineers to drive the success of the Core Data Platform
Document standards and best practices for pipeline configurations naming conventions etc.
Engage with and understand our customers forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Qualifications:

9 - 13 years of data engineering experience developing data pipelines.
Strong understanding of data modeling principles including Dimensional modeling and data normalization principles.
Proficiency in at least one major programming language (e.g. Python).
Expert SQL skills and ability to create queries to analyze complex datasets.
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
Experience with Snowflake.
Strong algorithmic problem-solving expertise.
Comfortable working in a fast-paced and highly collaborative environment.
Excellent written and verbal communication.
Advance understanding of OLTP vs OLAP environments.
Willingness and ability to learn and pick up new skill sets.
Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Familiar with Scrum and Agile methodologies.
Bachelors degree in computer science Information Systems or equivalent industry experience.

Fulltime Position 4 Days/Week Onsite Key Responsibilities: Create and maintain Data Platform pipelines Create Conceptual Logical and Physical data models Design table structures using DBT and define data pipelines to build performant reliable and scalable data solutions in a fast-growing dat...

Fulltime Position

4 Days/Week Onsite

Key Responsibilities:

Create and maintain Data Platform pipelines
Create Conceptual Logical and Physical data models
Design table structures using DBT and define data pipelines to build performant reliable and scalable data solutions in a fast-growing data ecosystem.
Collaborate with other data engineers data scientists and cross-functional teams.
Fluency with data engineering concepts and platforms (AWS: S3 Lambda SNS SQS...; Iceberg) data platforms (Snowflake) governance (data contracts) transformation and orchestration (dbt Airflow).
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Collaborate with product managers architects and other engineers to drive the success of the Core Data Platform
Document standards and best practices for pipeline configurations naming conventions etc.
Engage with and understand our customers forming relationships that allow us to understand and prioritize both innovative new offerings and incremental technology improvements
Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Qualifications:

9 - 13 years of data engineering experience developing data pipelines.
Strong understanding of data modeling principles including Dimensional modeling and data normalization principles.
Proficiency in at least one major programming language (e.g. Python).
Expert SQL skills and ability to create queries to analyze complex datasets.
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
Experience with Snowflake.
Strong algorithmic problem-solving expertise.
Comfortable working in a fast-paced and highly collaborative environment.
Excellent written and verbal communication.
Advance understanding of OLTP vs OLAP environments.
Willingness and ability to learn and pick up new skill sets.
Self-starting problem solver with an eye for detail and excellent analytical and communication skills.
Familiar with Scrum and Agile methodologies.
Bachelors degree in computer science Information Systems or equivalent industry experience.