-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.
>Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions.
>Understanding/hands on experience in Orchestration solutions such as Airflow
>Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
Evaluation will be done according to below:
Area of Assessment
Priority
Data Architect Must Have
Data Migration Must Have
Data Modeling Must Have
DBT Knowledge Should Have
ETL Design Must Have
Snowflake Designer/Developer Must Have
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