Data Engineer - Snowflake

Job description
Looking for "Snowflake Data Engineer" @ Mumbai Location(Kalwa). 3-5yrs of Exp

Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Optimize and tune Snowflake data warehouse performance.
Implement data governance and security best practices.
Develop and maintain documentation for data pipelines, ETL processes, and data models.
Monitor and troubleshoot data pipeline issues to ensure data accuracy and availability.
Stay up-to-date with the latest industry trends and Snowflake features to continuously improve data engineering practices.
Requirements:

Bachelors degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer with a focus on Snowflake.
Strong proficiency in SQL and experience with data modeling.
Experience with ETL tools and processes.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Knowledge of data governance, security, and compliance best practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Preferred Qualifications:

Experience with other data warehousing solutions (e.g., Redshift, BigQuery).
Familiarity with programming languages such as Python or Java.
Experience with data visualization tools (e.g., Tableau, Power BI).

Note: L1 virtual and L2 F2F interview mandatory - Interested candidates can share profile [email protected].

Regards,

Jaya Gowri

9500954668

[email protected]

Role: Data Engineer
Industry Type: IT Services & Consulting
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: B.Tech/B.E. in Information Technology, Computers
Key Skills
Skills highlighted with ‘‘ are preferred keyskills
SnowflakeEtl ProcessData VisualizationdatamodelsData Warehousing
Data PipelineSQL