Cloud Data Engineer

Must have total 8+ yrs. of experience in IT and working as a Data Architect and 7+ years in Data warehouse, ETL, BI Projects.Must have experience at least 4 End to End implementation of cloud data warehouse (Redshift, Postgres, or Snowflake).Design and Develop ETL Processes in AWS Glue to migrate data from external sources like S3, ORC/Parquet/Text Files into AWS Redshift.Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python.Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.Expertise in data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL/ELT concepts.Expertise in advanced concepts like setting up resource monitors, Role-based access controls (RBAC), virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features.Expertise in deploying features such as data sharing, events, and lake-house patterns.Deep understanding of relational as well as NoSQL data stores, Methods, and approaches (Star and Snowflake, Dimensional Modelling).Experience with data security and data access controls and design.Experience with AWS or Azure data storage and management technologies such as S3 and ADLS.Build processes supporting data transformation, data structures, metadata, dependency, and workload management.Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot.Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface.Must have expertise in AWS

and Azure Platform as a Service (PAAS).Should be able to troubleshoot problems across infrastructure, platform, and application domains.Must have experience of Agile development methodologies.Strong written communication skills. Is effective and persuasive in both written and oral communication.