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Data Snowflake Engineer with GCP- Remote

Role – Data Snowflake Engineer

Remote

Duration – 6 months 

Rate – $65/hr on C2C

Visa: Any



 

Job Description:

We are seeking a highly skilled Data Engineer with strong expertise in Snowflake, Python, PySpark, Airflow, and Streamlit to design, build, and support modern cloud-based data platforms. The ideal candidate will have experience developing scalable data pipelines, implementing Snowflake-based data solutions, and working with GCP environments.

Key Responsibilities

•            Design, develop, and maintain data ingestion, transformation, and orchestration pipelines in Snowflake.

•            Build and optimize Snowflake SQL queries, stored procedures, data models, and Snowpark-based solutions.

•            Develop scalable ETL/ELT processes using Python and PySpark.

•            Create and manage Airflow DAGs for workflow scheduling, monitoring, and automation.

•            Develop interactive dashboards and data applications using Streamlit.

•            Work with structured and semi-structured data formats including JSON, CSV, and Parquet.

•            Design and implement data quality, validation, reconciliation, and monitoring frameworks.

•            Integrate Snowflake solutions with AWS cloud services.

•            Troubleshoot production issues, optimize performance, and ensure data reliability.

•            Collaborate with business stakeholders, architects, and cross-functional teams to deliver data solutions.

Required Skills

•            8+ years overall Data Engineering experience

•            Strong hands-on experience with Snowflake including:

o            Data ingestion and transformation

o            Snowflake SQL

o            Complex joins and performance tuning

o            Stored Procedures, Views, Tasks, and Streams

o            Snowpark libraries

o            Data Modeling

•            5+ years of Python development experience

•            Strong knowledge of PySpark

•            Hands-on experience with Apache Airflow

•            Hands-on experience with Streamlit

•            Experience with GCP

•            Strong understanding of data warehousing concepts, ETL/ELT, and dimensional modeling.

•            Experience working with large-scale structured and semi-structured datasets.

•            Strong analytical, debugging, and problem-solving skills.

 

Preferred Qualifications

•            Experience in Banking or Financial Services environments.

•            Exposure to AWS services such as S3, EMR, Redshift, or equivalent GCP services.

•            Experience with CI/CD, Git, Jenkins, Terraform, or CloudFormation.

•            Snowflake and Cloud certifications are a plus.

 

 

Ajith Kumar

VBeyond Corporation || PARTNERING FOR GROWTH

Hillsborough, New Jersey, USA

Email ID: AjithG@Vbeyond.com

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