Job description

Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer.
About the RoleIn this opportunity as Data Engineer, you will:
Develop/enhance data warehousing functionality including the use and management of Snowflake data warehouse and the surrounding entitlements, pipelines and monitoring, in partnership with Data Analysts and Architects with guidance from lead Data Engineer
Innovate with new approaches to meeting data management requirements
Effectively communicate and liaise with other data management teams embedded across the organization and data consumers in data science and business analytics teams.
Analyze existing data pipelines and assist in enhancing and re-engineering the pipelines as per business requirements.
Bachelors degree or equivalent required, Computer Science or related technical degree preferred

About You

Youre a fit for the role if your background includes:
Mandatory skills : Data Warehousing, data models, data processing[ Good to have], SQL, Power BI, Tableau, Snowflake [good to have] , Python
3.5 + years of relevant experience in Implementation of data warehouse and data management of data technologies for large scale organizations
Experience in building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting
Worked on Analyzing data pipelines
Knowledgeable about Data Warehousing, including data models and data processing
Broad understanding of the technologies used to build and operate data and analytic systems
Excellent critical thinking, communication, presentation, documentation, troubleshooting and collaborative problem-solving skills
Beginner to intermediate Knowledge of AWS, Snowflake, Python
Hands-on experience with programming and scripting languages
Knowledge of and hands on experience with Data Vault 2.0 is a plus.
Also have experience in and comfort with some of the following skills/concepts:
Good in writing SQL and performance tuning
Data Integration tools lie DBT, Informatica, etc.
Intermediate in programming language like Python/PySpark/Java/JavaScript
AWS services and management, including Serverless, Container, Queueing and Monitoring services
Consuming and building APIs.

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