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Remote Position - Data Engineer (SQL, Snowflake, and Data Warehousing) 6 Months Contract at Snowflake, Arizona, USA
Email: [email protected]
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From:

Devender,

ActiveSoft

[email protected]

Reply to: [email protected]

HI Professionals

I am Devender Gandham, an IT Recruiter from ActiveSoft Inc. We have the requirement for Data

Engineer (SQL, Snowflake, and Data Warehousing) 6 Months Contract

Remote,

please review the requirement below and let me know your thoughts. Kindly, share the resume if you are interested along with following details.

Job Title: Data Engineer

Job Location: Fully Remote Work

Job Duration: 6 Months Contract

Top 3 skills: SQL, Snowflake, and Data Warehousing/Design

There will be a video screen and games.

They would like to fill asap and will interview right away.

There is a total of 12 on the team, 1 other being a contractor.

Job Description

The Company is seeking a talented and motivated Data Engineer to join our dynamic team. As a Data Engineer, you will play a critical role in developing and maintaining our data infrastructure, ensuring the smooth flow of data for our analytics and insights projects. The ideal candidate will have a strong background in SQL, data warehousing, ETL processes, and a preference for Snowflake experience. Additional experience with dbt or semantic layer tools will be a bonus, and proficiency in Python will also be advantageous.

Bachelors degree in computer science, Engineering, or a related field.

Solid experience with SQL and data warehousing concepts.

Strong understanding of ETL processes and tools.

Preferred experience with Snowflake data warehouse platform.

Bonus for experience with dbt or other semantic layer tools.

Proficiency in Python is a plus.

Excellent problem-solving and analytical skills.

Strong attention to detail and ability to work in a fast-paced environment.

Effective communication skills and ability to collaborate with cross-functional teams.

Key Responsibilities

Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.

Optimize data ingestion and transformation processes to ensure efficient and scalable data flows.

Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.

Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.

Perform data validation, quality checks, and troubleshooting to identify and resolve data-related issues.

Monitor and optimize database performance, including query tuning and index optimization.

Collaborate with data scientists and analysts to implement data models and support their data requirements.

Stay up to date with industry trends and best practices in data engineering, and proactively recommend and implement improvements to our data infrastructure.

Thanks & Regards,

Devender Gandham

Celebrating 14 Years of Excellence!

[email protected]

www.activesoftinc.com

Serving clients and consultants nationwide with offices in Georgia and North Carolina

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Keywords: access management information technology Idaho
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