
data engineer
6 days ago
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)
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