<p><strong>Experience Required</strong></p>
<ul>
<li>Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step Function, Athena, DMS, Storage Gateway, flavors of RDS),&nbsp;</li>
<li>Strong SQL skills</li>
<li>Solid understanding of relational and dimensional data modeling&nbsp;</li>
<li>Good Python programming skills</li>
<li>Experience sourcing and exposing data via Rest API</li>
<li>Applications Integration experience</li>
<li>Any exposure to Snowflake, Redshift is a big plus.</li>
<li>NoSQL and columnar DB experience</li>
<li>Pyspark programming experience</li>
<li>Knowledge/Implementation of streaming architectures is also desired (Kafka, Kinesis Data Streams, Kinesis Data Analytics, EMR).</li>
<li>Good understanding of Hudi/Iceberg/Delta lake file/table formats</li>
</ul>

Experience Required

Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step Function, Athena, DMS, Storage Gateway, flavors of RDS),&nbsp;
Strong SQL skills
Solid understanding of relational and dimensional data modeling&nbsp;
Good Python programming skills
Experience sourcing and exposing data via Rest API
Applications Integration experience
Any exposure to Snowflake, Redshift is a big plus.
NoSQL and columnar DB experience
Pyspark programming experience
Knowledge/Implementation of streaming architectures is also desired (Kafka, Kinesis Data Streams, Kinesis Data Analytics, EMR).
Good understanding of Hudi/Iceberg/Delta lake file/table formats


AWS Cloud Data Engineers With Kafka

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