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Sr. DBT Snowflake Data Engineer !! CGEMJP00291607 !! Atlanta, GA Onsite !! Visa- Any !! 12+ Years Only

Hi All,

Please find below mentioned job description !!

Job Title- Sr. DBT Snowflake Data Engineer

Visa- Any

Duration- 12+ Months

Interview- Virtual

Location- Atlanta, GA Onsite

12+ Years Only

“A DBT Snowflake Data Engineer is responsible for designing, implementing, and maintaining data infrastructure using DBT (Data Build Tool) and Snowflake. Here are some key responsibilities and requirements typically found in this role:

1 Responsibilities:

• Data Pipeline Development: Design, build, and maintain scalable data pipelines using DBT and Snowflake.

• Data Transformation: Use DBT to define and execute complex data transformations within Snowflake, creating modular SQL scripts for transforming raw data into clean, usable datasets.

• Data Integration: Integrate data from various sources, ensuring data quality and consistency.

• Automation: Automate data processing tasks and develop reusable frameworks.

• Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

• Performance Optimization: Optimize data processing performance and troubleshoot issues.

• Security: Implement data security measures and ensure compliance with data governance policies.

2 Requirements:

• Experience: 3-5 years of experience in data engineering, particularly with DBT and Snowflake.

• Technical Skills: Proficiency in SQL, DBT, and Snowflake. Experience with cloud platforms like AWS or Azure is a plus.

• Tools: Familiarity with DevOps tools like Git, Jenkins, and CI/CD pipelines.

• Data Processing: Experience with big data technologies like Spark, Hive, and Kafka.

• Problem-Solving: Strong analytical and problem-solving skills.

• Communication: Excellent communication skills to collaborate with cross-functional teams.

3 Preferred Qualifications:

• Certifications: Relevant certifications in Snowflake or DBT.

• Agile Methodologies: Experience with Agile, Scrum, and other project management methodologies.

• Advanced Analytics: Knowledge of machine learning and advanced analytics techniques.

This role is crucial for organizations looking to leverage their data for strategic decision-making and operational efficiency.

AWS,DWaaS,Data build tool,IT infrastructure,Snowflake,business intelligence,cloud computing,cloud providers,data analysis,data infrastructure,data processing,data warehouse,information technology,public cloud,technology

Thanks & Regards

Vicky Yadav

Sr. Technical Recruiter

Contact -201-354-2897

Email –

vicky.y@wonese.com” data-linkindex=”0″ style=”border: 0px; font: inherit; margin: 0px; padding: 0px; vertical-align: baseline;”>vicky.y@wonese.com

 

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