Data Engineer

I-Vintage Solutions Pvt Ltd.


Date: 2 weeks ago
City: Remote, Remote
Contract type: Full time
Remote
Key Skills

Must have: Snowflake, dbt, SQL

Preferable to have: AWS, Python

Good to have: Tableau

Location: Offshore (India)

Experience Required: 3 to 8 years

Availability: Should be able to join within a month.

Job Type: C2C

Job Description

We are seeking a skilled Snowflake Data Engineer with experience in dbt to join our team based in India. The primary focus of this role (90%) will be building and optimizing data pipelines in Snowflake using dbt, with additional involvement in Tableau (10%) for data visualization. The ideal candidate will have hands-on experience with Snowflake's advanced features and a solid understanding of data models and SQL. Python and AWS knowledge are preferable but not mandatory.

Key Responsibilities

  • Design, develop, and optimize data models and data pipelines in Snowflake, using features such as Snowpark, tasks, streams, stored procedures, dynamic tables, and table/view creation.
  • Build and maintain dbt models to load and transform data into Snowflake.
  • Collaborate with data analysts and business teams to ensure Snowflake models are aligned with reporting requirements.
  • Write and optimize complex SQL queries to support ETL/ELT processes in Snowflake.
  • Develop, monitor, and maintain data pipelines to ensure smooth and efficient data flow.
  • Utilize Python (if applicable) for automating and enhancing ETL processes.
  • Occasionally support Tableau dashboard creation and data visualization efforts (10% of the role).
  • Use AWS services for data storage and Snowflake integration (preferred but not mandatory).

Required Skills Experience

  • 3 to 8 years of experience as a Data Engineer, with hands-on expertise in Snowflake including Snowpark, tasks, streams, stored procedures, and dynamic tables.
  • Strong knowledge of dbt (data build tool), including model creation, and integration with Snowflake.
  • Strong SQL skills for writing and optimizing queries to manage and manipulate large datasets.
  • Python knowledge is preferable for automating and scripting data workflows.
  • Experience with Tableau for data visualization (preferred but not mandatory).
  • Familiarity with AWS services (preferred but not mandatory).

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