AWS Engineer (Experience:5-8 years)

Role Overview:

Develop and maintain scalable data processing pipelines on AWS. This role

involves hands-on coding and optimization of AWS-based data solutions while

working closely with the team to ensure efficient and high-performance

architecture.

Key Responsibilities:

 Develop and optimize AWS Glue, Lambda, and Athena workloads for data

processing.

 Implement AWS CDK to define and deploy infrastructure in an automated

manner.

 Work with AWS Lakehouse to manage structured and semi-structured

data.

 Assist in building serverless data architectures for batch and streaming

data processing.

 Work collaboratively with senior engineers and architects to improve

performance and scalability........Must-Have Skills:

 AWS Cloud Services (Glue, Lambda, Athena, Lakehouse, Iceberg)

 AWS CDK for Infrastructure-as-Code

 Programming proficiency in Python, Pyspark, Spark SQL, Typescript, Scala,

or Java

 Experience with data lakes and data warehousing on AWS

Nice-to-Have Skills:

 Real-time data streaming (Firehose, Kinesis, Kafka)

 Hands-on experience with Apache Iceberg for data lake management

 Experience with NoSQL databases (DynamoDB)