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Snowflake Data Engineer Atlanta - GA - Georgia

  • Full Time, onsite
  • Sierra Business Solution LLC
  • On Site, United States of America
Salary undisclosed

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Role - Sr. Data engineer - SnowflakedbtGoogle Cloud PlatformPython

Location - Atlanta, GA

Location California

No. of Positions 1

Job Description (Posting). Implementing ETL pipelines within and outside of a data warehouse using Python and Snowflakes Snow pythonQuerying Snowflake using pythonDevelopment of scripts using Google Cloud Platform,DBTPython, etc. for loading, extracting, and transforming data.Knowledge of Amazon Web Services RedshiftAssist with production issues in Data Warehouses like reloading data, transformations, and translationsDevelop a Database Design and Reporting Design based on Business Intelligence and Reporting requirements (1.) To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity. (2.) To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects. (3.) To ensure process compliance in the assigned module, and participate in technical discussionsorreview as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations). (4.) To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.

Skill (Primary) Data Fabric-Cloud Datawarehouse-Snowflake

Job Family Development

Band E2

Job Senior Technical Lead

Requisition Source Proactive SR

JD

Proficiency in data modeling and database management.

Strong programming skills (e.g., Python, Java, or SQL).

Experience in Snowflake

Knowledge of big data technologies like Hadoop and Spark.

Experience with ETL (Extract, Transform, Load) processes.

Familiarity with data warehousing and cloud platforms (AWS, Azure, or Google Cloud).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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