- Minimum 3-4 years of experience as a Engineering Manager, managing individual contributors (Analytics Engineers/BI developers/Data Platform engineers) managing 20-40 peoples team , with 2-5 direct reporting manager
- Experience being an analytics/BI engineer at a mid/senior level, and ready to work as Data& Analytics IT Manager.
- Familiarity with modern cloud data stack (Snowflake or AWS, Azure)
- Create a learning environment for our team while being a mentor for analytics engineers and up and coming leaders
- Manage & develop a team of BI developers and data analyst engineers who build Business Intelligence tools and lead analytics that help our business answer critical questions.
- Key contributor in developing, understanding, and completing strategic goals to drive customer success.
- Work with other Analytics Engineering Managers to share understanding of multiple teams
- Contribute to product delivery, by ensuring analytics engineers are in the right place at the right time
- Become instrumental in improving and implementing processes and values that scale.
- Provide technical mentorship to engineers building and deploying projects
- Collaborate with teams including product, design, operations
- You will work with the Director of Engineering and Senior Managers , Architects in Data Analytics team along with Business - Data & Analytics & other consumers. The team is a major enabler for Data science, Product Development and Business insight.
Must have Skills : Experience with AWS services S3, Glue, Lambda, SNS, EC2, RedShift, IAM and KMS, CI/CD Pipelines in GitHub , Understanding of modern cloud data stack -Snowflake, Business Intelligence, ETL, SQL, Python Scripting, Database Management, Visualization, Automation, Data Analysis.
Good to have Skills : Hands on experience/Familiarity with one/more of the following technologies: Database, Data Visualization (Power BI), Scripting, ETL (Informatica PowerCenter)
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