Data engineer

Biztecglobal LLC
Glendale, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 150K

Job location

Glendale, United States of America

Tech stack

Airflow
Big Data
Information Systems
Information Engineering
Data Governance
Data Normalization
Dataspaces
Dimensional Modeling
Python
Online Analytical Processing
Online Transaction Processing
Scrum
Standard Sql
Snowflake
Core Data
Information Technology
Data Management
Physical Data Models
Amazon Web Services (AWS)
Data Pipelines
Programming Languages

Job description

· 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

Requirements

· 5+ 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.

· Bachelor's degree in computer science, Information Systems, or equivalent industry experience.

Benefits & conditions

Pulled from the full job description

  • Parental leave
  • 401(k)
  • Retirement plan
  • Paid time off
  • Vision insurance
  • Dental insurance, * 401(k)
  • Dental insurance
  • Paid time off
  • Parental leave
  • Retirement plan
  • Vision insurance

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