Details:

Job Description

Responsibilities:

Develop and maintain data pipelines using Snowflake and Azure Data Factory.
Collaborate with data architects, data engineers, and business analysts to understand data requirements and translate them into technical solutions.
Design and implement data transformation logic using SQL, Python, or other programming languages.
Optimize data pipelines for performance and scalability.
Implement data security and governance best practices.
Troubleshoot and resolve issues related to data pipelines and processing.
Document data pipelines, processes, and best practices.

Qualifications:

Strong experience with Snowflake's cloud data platform, including data modeling, performance tuning, and security.
Proficiency in Azure Data Factory for data integration and orchestration.
Experience with SQL and other programming languages for data manipulation and analysis.
Familiarity with cloud computing concepts and services, particularly Azure.
Strong problem-solving and analytical skills.
Excellent communication and collaboration skills.
Having minimum 1 year of experience in Talend will be added advantage..

Experience:

Up to 5 years of experience in data engineering, ETL development, or a related field and at-least 2-3 years of experience in Snowflake.
Experience working with data warehousing and data integration projects.
Experience designing and implementing solutions using Snowflake and ADF in a cloud environment.
Snow or Azure Certification will be an added advantage.

Other Skills:

Job Requirements

Other Skills:

Snowflake Developer