Sr. AWS Data Engineer

Job Title :: AWS Data Engineer

Job Location :: Columbus, OH (Day1 Onsite)

Mode of hiring :: Contract

Customer :: Virtusa/ JPMC

Minimum exp. required - 8 years

JD:

• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Understanding of architecture and design across all systems
• Working proficiency in developmental toolsets
• Knowledge of industry-wide technology trends and best practices
• Ability to work in large, collaborative teams to achieve organizational goals
• Proficiency in one or more modern programming languages like Java, Python etch
• Understanding of software skills such as business analysis, development, maintenance, and software improvement
• Experience and advanced knowledge in building Analytics solutions using traditional ETL tools or Big Data technologies
• Big-data development
• Autosys or Control-M scheduler
• MQ, Kafka, Kinesis or Streaming real time data development
• Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc.
• Experience in building data pipelines using Spark/Glue
• Good understanding of Data Warehousing and Data Modelling concepts on AWS Redshift
• Experience in designing and optimizing Redshift Workloads
• Good understanding of Redshift cluster management and cost optimization
• Good understanding of defining data access roles and permission for Redshift
• Capable of learning and adapting to the new technologies along with good Analytical skills
• Experience in working of Visualization tools like AWS QuickSight, Tableau