Data Engineer

Must have:
Minimum – 7 to 10 years of Data Engineering experience
Strong Experience with Snowflake, AWS and ETL
Hands-on experience with snowflake security, roles, encryption, masking, replication, snowpipe streaming. 
Hands-on experience with AWS Data Migration Service (DMS), Apache AirFlow, MSK, Kinesis Firehose for seamless and secure data migration.
Hands-on experience with RESTapi, java script, Python, Scala, SQL and Java. 
Computer skills – a thorough knowledge of computer programming, coding, and various operating and database systems is a must
Time management – developers should have the ability to quickly develop data warehousing systems and solve any issues to ensure the continued accuracy of business data
Creativity – the ability to create mappings from scratch often calls for strong creative skills on the part of a developer
Analytical thinking –Developers should be able to analyze data needs and options and understand the needs of various clients
Troubleshooting – when data warehousing systems are down, Data engineer should be quickly assessing the problem and provide a solution
Team collaboration – Data engineer rarely work alone; they typically interact closely with database managers and other IT specialists when maintaining, storing, and retrieving data