Data Engineer

AST auto

$70K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in computer science, data engineering, or a related field.
  • Previous experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL for data manipulation and management.
  • Hands-on knowledge of DBT for data transformations.
  • Experience with Snowflake for cloud data management is a plus.
  • Ability to work collaboratively and communicate with technical and non-technical stakeholders.
  • Experience with additional data management technologies (Python, orchestration tools) is a plus.

Responsibilities

  • Design, develop, and maintain robust and scalable data pipelines to meet company needs.
  • Work with relational databases and data storage systems for data ingestion and transformation.
  • Utilize SQL to manipulate data and optimize queries for peak performance.
  • Collaborate with the BI Analyst to understand data needs and build models.
  • Integrate and transform data using DBT to create standardized models and perform large-scale transformations.
  • Optimize database performance and apply best practices for data management.
  • Use Snowflake to manage cloud data warehouses and enhance storage and query efficiency.
  • Monitor data quality and resolve issues related to data integrity.

Benefits

  • Opportunity to work with cutting-edge technologies in the data engineering domain.
  • Collaborative environment with a focus on data-driven decision-making.
  • Potential for professional growth within a dedicated data team.
  • Engagement with both technical and non-technical stakeholders enhancing communication skills.
Full Job Description
Job Description:

We are looking for a talented and motivated Data Engineer to join our data team. The ideal candidate will be responsible for designing, implementing, and optimizing data pipelines, ensuring seamless and efficient integration of data from various sources into our analytics platform. Expertise in SQL and data modeling is essential, while knowledge of DBT and Snowflake will be a significant asset.

Responsibilities:
  • Design, develop, and maintain robust and scalable data pipelines to meet the company's needs.
  • Work with relational databases and other data storage systems to ingest and transform data.
  • Utilize SQL to manipulate and analyze data, optimizing queries for maximum performance.
  • Collaborate with the Bi Analyst to understand data requirements and build suitable models.
  • Integrate and transform data using DBT to create standardized models and large-scale transformations.
  • Optimize database performance and implement best practices for data management.
  • Use Snowflake to manage data warehouses in a cloud environment, optimizing storage and queries.
  • Monitor data quality, identify anomalies, and resolve issues related to data integrity.


Required Skills:
  • Strong proficiency in SQL for data manipulation and management.
  • Experience in data modeling.
  • Hands-on knowledge of DBT for data transformations.
  • Experience with Snowflake for cloud data management (a plus).
  • Knowledge of integration concepts and ETL/ELT processes.
  • Ability to diagnose and resolve issues related to data pipelines and database performance.
  • Experience automating data workflows in cloud environments.


Qualifications:
  • Degree in computer science, data engineering, or a related field.
  • Previous experience as a Data Engineer or in a similar role.
  • Ability to work in a team and communicate effectively with both technical and non-technical stakeholders.
  • Experience with other data management technologies is a plus (Python, orchestration tools, etc.).


If you are excited about this opportunity, we encourage you to submit your resume. If your application is selected, we will contact you to schedule an interview.

Note: Vast-Auto Distribution does not use AI for job screening purposes

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