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Job Description

Required Technical Skill Set :


- Snowflake

- DBT

- PL/SQL

- Azure/AWS Overall Knowledge

- Knowledge on DB Modelling

- Knowledge on Data Warehouse concepts

- Well versed with Agile Delivery

Desired Competencies (Technical/Behavioral Competency) :

Good-to-Have :


- Azure 900/104/204 Certified

- Informatica/SSIS/ADF

Responsibility of / Expectations from the Role :


- Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.

- Profound experience in designing and developing data integration solutions using ETL tools such as DBT.

- Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory

- Solid MS SQL Server skills including reporting experience.

- Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.

- Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.

- Ensuring root cause resolution to identified problems.

- Monitor and support the Data Solutions jobs and processes to meet the daily SLA.

- Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.

- Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.

- Follow best practices and standards around data governance, security and privacy.

- Comfortable working in a fast-paced team environment coordinating multiple projects.

- Effective software development life cycle management skills and experience with GitHub

- Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.

- Data transformation and Data Analytics Documentation


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