Snowflake Data Engineer

Exp. Required: 8+ Year’s

Must Have Technical/Functional Skills

• 4 Years of Experience in Snowflake Development

• 5 Years of Hands-on Experience with SQL in writing complex SQL queries and logic

• 4 Years of Hands-on Experience in using Talend (preferred), Informatica or any other ETL/ELT Tool

• Must have some working knowledge or understanding of Python, dbt (Data Build Tool)

• Must be a hands-on, self-driven, and independent engineer who can work with limited supervision, manage priorities effectively, and deliver high-quality outcomes within agreed timelines.

• Strong understanding of dimensional data modeling, database design principles, data warehousing concepts, and SQL/NoSQL technologies is highly desired.

Roles & Responsibilities

• Responsible for the development, maintenance, documentation, monitoring, and continuous improvement of existing data warehouse and ETL/ELT solutions.

• Develop new data pipelines, onboard additional data sources, implement transformations, document and improve overall data delivery processes.

• Monitor scheduled jobs, investigate failures, troubleshoot data issues, optimize processes, and implement sustainable fixes to support reliable operations.

• Experience with Shell scripting, Airflow, Git, CI/CD, and AWS or other cloud platforms, and consuming data from APIs, external data services are desirable.

• Experience working with structured, semi-structured, and unstructured data sources is desirable.

• Perform basic to intermediate data modeling and database design activities as required.

• Perform detailed data analysis, ensure data accuracy, integrity, privacy, and compliance through quality control procedures and monitoring processes.

• Identify reusable components/AI/Automation opportunities and build them so that they can be reused by all the workstreams.

• Perform maintenance and upgrade releases of supported data systems, including periodic off-hours support as required.

• Partner with business stakeholders, architects, analysts, and application teams to translate business requirements into scalable data solutions while following the architecture and development guidelines and principles.

Generic Managerial Skills, If any

• Excellent communication skills and ability to effectively collaborate with team members.