Virtusa

Snowflake Data Engineer

Posted On

May 1, 2024

Location

Chennai, Tamil Nadu

Experience Level

Full Time

Job Type

Experienced

Apply By

Aug. 31, 2024

Job Description

Snowflake Data Engineering:
Design, develop, and maintain Snowflake data warehouses and databases to
ensure efficient and scalable storage and retrieval of data.
Implement and optimize ETL processes within Snowflake to enable seamless
data integration from various sources.
Experience in snowflake best practices for error handling, optimization, job
layout, job design and naming conventions.
Continuously improve data engineering processes and tools, including
integrating Snowflake with various data sources and third-party tools.
Amazon Web Services: Connecting, loading, and reading data from AWS
database technologies like S3 & IAM
Python Development:
Demonstrated experience in writing clean, high-quality code.
Implement unit tests to ensure data quality and pipeline reliability using
Python and relevant testing frameworks like pytest.
Collaborate with cross-functional teams to integrate Python-based solutions
with Snowflake, ensuring seamless data flow.
Data Modeling and Optimization:
Work on data modeling within Snowflake, ensuring data structures align with
business requirements and industry best practices.
Optimize queries and performance within Snowflake for enhanced data
processing speed.
Monitor and troubleshoot data pipeline issues, including root cause analysis
and performance tuning.
Collaboration and Communication:
Collaborate with data scientists, analysts, and other stakeholders to
understand data requirements and deliver solutions that meet business needs.
Communicate effectively with team members, providing documentation and
knowledge transfer as needed.
Monitoring and Maintenance:
Implement monitoring tools and practices to ensure the reliability and
availability of Snowflake data warehouses.
Perform routine maintenance tasks, troubleshoot issues, and ensure data
integrity and security.
Monitor and troubleshoot data pipeline issues, including root cause analysis
and performance tuning.Proven experience as a Snowflake Data Engineer and Python Developer.
Strong understanding of data warehousing concepts and best practices.
Proficient in writing efficient SQL queries within Snowflake.
Strong knowledge of Python and experience with ETL processes.
Solid experience in Python programming for data processing and integration.
Familiar with using version control (branching, merging etc), ideally Git.
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and their services.
Understanding of data compliance and security best practices.
Experience in performance tuning and cost optimization in a cloud data platform.
Excellent problem-solving and communication skills.
Good to have:
DBT
Flyway
ETL/ETL Tools
DevOps

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