Senior AWS Data Engineer

Requirements

• Required
• 4-8 years of relevant experience
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and Cloud Data warehouse like AWS Redshift
• Experience in creating scalable, efficient schema designs to support diverse business needs.
• Experience with database normalization, schema evolution, and maintaining data integrity
• Proactively share best practices, contributing to team knowledge and improving schema design transitions.
• Develop data models, create dimensions and facts, and establish views and procedures to enable automation programmability.
• Collaborate effectively with cross-functional teams to gather requirements, incorporate feedback, and align analytical work with business objectives
• Prior Data Modelling, OLAP cube modelling
• Data compression into PARQUET to improve processing and finetuning SQL programming skills.
• Experience building and optimizing “big data” data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience with manipulating, processing and extracting value from large disconnected unrelated datasets
• Strong analytic skills related to working with structured and unstructured datasets.
• Working knowledge of message queuing, stream processing, and highly scalable “big data” stores.
• Experience supporting and working with cross-functional teams and Global IT.
• Familiarity of working in an agile based working models.
• Preferred Qualifications/Expertise
• Experience with relational SQL and NoSQL databases, especially AWS Redshift.
• Experience with AWS cloud services Preferable : S3, EC2, Lambda, Glue, EMR, Code pipeline highly preferred. Experience with similar services on another platform would also be considered.
• Education:
• Bachelor’s or master’s degree on Technology and Computer Science background