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* Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
* Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
* Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
* Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
* Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
* Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
* Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Qualifications:
* Bachelor’s degree in computer science, Engineering, or a related field.
* 5+ years of experience in data engineering, with a strong focus on Snowflake and AWS.
* Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.)
* Hands on experience with Oracle RDBMS
* Data Migration experience to Snowflake
* Experience with AWS services such as S3, Lambda, Redshift, and Glue.
* Strong understanding of data warehousing concepts and data modeling.
* Understanding/hands on experience in Orchestration solutions such as Airflow
* Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Consulting
* Industries
IT Services and IT Consulting
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