À propos
Snowflake SQL, Data warehouse, Python, AWS-Lambda, ETL/ELT
Job Description: Required Skills: 6-8 years+ experience on
Snowflake SQL - advanced SQL expertise 6-8 years+ experience on
data warehouse experiences
- hands on knowledge with the methods to identify, collect, manipulate, transform, normalize, clean, and validate data, star schema, normalization / denormalization, dimensions, aggregations etc., 6-8 years+ experience working in reporting and analytics environments - development, data profiling, metric development, CICD, production deployment, troubleshooting, query tuning, Atlassian Bitbucket and Bamboo, etc., 6 years+ on
Python - advanced Python expertise 6 years+ on any cloud platform -
AWS preferred Hands on experience on
AWS on Lambda , S3, SNS / SQS, EC2 is a bare minimum, 6 years+ on any
ETL / ELT tool
- Informatica, Fivetran, DBT, Airflow etc. - Must 6 years+ with developing functional metrics in any specific business
Responsibilities: • Lead data warehouse development activities for a team, leading more than one project in parallel. • Assign data warehouse development tasks to team of 1-6 developers (Onsite/Offshore). • Be a subject-matter expert (SME) in Data Warehouse domain and relevant business function. • Work with minimal supervision and provide status updates and escalation to leadership as appropriate. • Provides application support as part of an on-call rotation to work on resolving outages and user questions. • Review project objectives and determine best technology to apply. • Design and build large scale datasets for a wide range of consumer needs. • Build, test and implement highly efficient data pipelines using a variety of technologies. • Develop best practice standards for solution design and data structures. • Analyze new data sources to understand quality, availability, and content. • Write technical design documentation. • Conducts peer code reviews. • Create and executes unit tests. • Supports QA team during testing. • Mentor less experienced members of the development team.
Compétences idéales
- AWS Lambda
- Python
Expérience professionnelle
- Backend
- Data Engineer
- Data Infrastructure
Compétences linguistiques
- English
Avis aux utilisateurs
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