
Cloud Data Engineer
Há 2 dias
Description:
In this role, you will work on designing and building scalable data engineering solutions using AWS Glue, EMR, Spark, and Python. You will be responsible for developing batch and real-time data pipelines, integrating multiple sources and destinations such as S3, RedShift, Aurora, DynamoDB, and Kinesis.
You will also implement and optimize workflows and dataframes for high performance and reliability. Additionally, you will migrate data using AWS DMS and manage data catalogs with Glue Catalog.
As a Cloud Data Engineer, you will collaborate with multidisciplinary teams to deliver solutions that support advanced analytics and business intelligence. You will ensure data quality, security, and governance throughout the lifecycle.
Required Skills:
- Proven experience with AWS Glue, Spark, PySpark, and Python.
- Knowledge of data mesh and distributed data architecture.
- Experience with AWS Quicksight, S3, RedShift, Aurora, DynamoDB, Glue Catalog, Glue Databrew, Lambda Functions.
- Experience with batch and streaming data pipelines (Kinesis, Kafka).
- Mastery of SQL and dataframe manipulation.
- Experience with tools such as Apache Airflow and dbt.
- Ability to work in an agile, collaborative, and multicultural environment.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Information Technology
Industries: IT Services and IT Consulting
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