Role: Snowflake Data Engineer
Location: Blue Bell, PA - Onsite
Salary range: $120K-$130K PA
Job Description
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 Consultant 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, Eligible to workimize 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.
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