Avalara Technologies
Cloud Data Specialist S Avalara Technologies Pune (Remote)
Cloud Data Specialist S Avalara Technologies Pune | AvalaraTechnologies | Worldwide
Job Title: Cloud Data Specialist
Overview:
In this role you get to be in the center of Business Stakeholders,Engineering, Product, and Business Analytics teams to understand,facilitate and maintain data pipelines based on dynamic requirements. Youare an integral part of an agile team that works to enhance, build, and...
Cloud Data Specialist S Avalara Technologies Pune | Avalara Technologies | Worldwide
Job Title: Cloud Data Specialist
Overview:
In this role you get to be in the center of Business Stakeholders, Engineering, Product, and Business Analytics teams to understand, facilitate and maintain data pipelines based on dynamic requirements. You are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the orgs business objectives.
Job Responsibilities:
- Collaborate with and influence business and engineering stakeholders to ensure data infrastructure and products meets the evolving requirements.
- Lead cross-functional initiatives and collaborate with engineers, product managers, and technical program managers across teams.
- Work with analysts to productionize analytics and reporting prototypes.
- Perform analysis on existing data storage system and develop of data solutions in Snowflake.
- Leverage SQL and Snowflake to extract, transform, and load (ETL) data from various sources into a structured format for analysis.
- Improve upon the data ingestion models and ETL jobs to maintain data integrity and data availability of ingest structured and unstructured data.
- Develop and optimize SQL queries for efficient data retrieval and manipulation.
- Utilize Python for data analysis, automation, and scripting tasks.
- Communicate effectively with technical and non-technical stakeholders across multiple business units.
Requirement and Qualifications:
- Minimum 5 years of enterprise-class experience with large scale cloud solutions in data engineering projects and DevOps.
- AWS is highly desirable.
- Google Cloud and Azure are a plus.
- Understanding of common container and orchestration technologies such as Docker, Container, CI/CD and Kubernetes
- Experience architecting complex data marts leveraging DBT and Airflow
- Demonstrated ability to architect and build data solutions that leverage data quality and anomaly detection best practices.
- Experience building production analytics using the Snowflake data platform.
- Experience in DevOps or DataOps, using Git or Terraform.
- Intermediate level expertise in Python.
- Excellent experience in AWS data engineering ecosystem and Snowflake tools and services.
- Knowledge with data visualization (Power BI, Tableau, Hex, etc.) and data storytelling.
- Good to have AWS Certified Solutions Architect or equivalent.
