Job Description
Candidate should have:
Clear, concise communication abilities - writing, verbal, presentation - to all levels of technical and non-technical audiences with the ability to collaborate
Strong experience in CICD technologies including Python, SQL, Airflow, and Git in a cloud setting
Understanding of ELK stack is a plus for logging and reporting purposes
Experience with pyspark is preferred and building API’s
Hands-on Experience in AWS data related services
Strong Python and object-oriented development skills
Strong UNIX skills
Redshift/Netezza DBA expertise and understanding
Advanced competencies in data modeling, modern data architecture, data masking, and manipulation of structured and unstructured data sources using state-of-art cloud computing technologies (AWS)
Candidate should be able to:
•Migrate from one data warehouse to AWS Redshift along with ETL components
•Collaborate with data engineers, software engineers, business leaders, and cross-functional stakeholders to implement data engineering •solutions based on business priorities and technology initiatives
to ensure High Availability at enterprise scale.
•creating rigorous system at enterprise scale in a dynamic work setting
•Create automated data flows for production settings with enterprise-level best practices, transparency, and scalability.
Clear, concise communication abilities - writing, verbal, presentation - to all levels of technical and non-technical audiences with the ability to collaborate
Strong experience in CICD technologies including Python, SQL, Airflow, and Git in a cloud setting
Understanding of ELK stack is a plus for logging and reporting purposes
Experience with pyspark is preferred and building API’s
Hands-on Experience in AWS data related services
Strong Python and object-oriented development skills
Strong UNIX skills
Redshift/Netezza DBA expertise and understanding
Advanced competencies in data modeling, modern data architecture, data masking, and manipulation of structured and unstructured data sources using state-of-art cloud computing technologies (AWS)
Candidate should be able to:
•Migrate from one data warehouse to AWS Redshift along with ETL components
•Collaborate with data engineers, software engineers, business leaders, and cross-functional stakeholders to implement data engineering •solutions based on business priorities and technology initiatives
to ensure High Availability at enterprise scale.
•creating rigorous system at enterprise scale in a dynamic work setting
•Create automated data flows for production settings with enterprise-level best practices, transparency, and scalability.
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