Overall experience range of 10-15 years is preferred
At least 3 years of experience with AWS
At least 3 years of experience in Spark/Pyspark
Experience of designing enterprise scale data warehouse/data marts/data lake
Exposure to cloud native data warehouses such as redshift
Excellent understanding of AWS storage, and its compute services. Able to effectively use of AWS managed services - Step function, EMR, Lambda, Glue and Athena.
Experience in a solution architecture role and in hosting solutions over private/public cloud IaaS, PaaS and SaaS platforms.
Good to have :
Multicloud modernization exposure
Hands-on expertise on Java, SQL, Integrations (Webservices)
Evaluate and recommend AWS services best suited for customer needs for optimal solution
Drive significant technology initiatives end to end and across multiple layers of architecture
Provides strong technical leadership in adopting and contributing to open source technologies related to Data Engineering across multiple engagements
Designing / complex , highly available , distributed , failsafe compute systems dealing with considerable amount (GB/TB) of data
Identify and work upon incorporating Nonfunctional requirements into the solution (Performance , scalability , monitoring etc.)