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AWS Data Engineer
Design and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, and RDS
Build and maintain scalable, fault-tolerant data pipelines (batch and streaming).
Implement Infrastructure as Code (IaC) using Terraform / CloudFormation
Optimize data storage, compute, and query performance for cost and efficiency
Collaborate with data engineers, analysts, and platform teams to support analytics use cases
Proficiency in Python / SQL (Scala optional)
Solid understanding of data modeling, ETL/ELT, and distributed systems
Experience with Apache Spark, EMR, Kafka
Experience with Data Lake
Familiarity with Airflow, Step Functions, or other orchestration tools
Job ID: 151524153
Skills:
snowflake , S3, Data Warehousing, Kafka, Emr, Sql, ELT, Lambda, Python, AWS, Etl, Airflow, Glue, Athena
Skills:
Aws Lambda, AWS Glue, Data Warehousing, AWS Athena, Sql, ELT, Databricks, Etl, AWS EMR, Amazon QuickSight, AWS Step Functions, distributed processing, data lakes
Skills:
S3, Lambda, Pyspark, Python, AWS, Glue
Skills:
Machine Learning, Apache Spark, Node.js, Natural Language Processing, Data mining, Python, AWS, Technical computing tools, Container orchestration, Managed cloud DB
Skills:
Apache Spark, Python, Pytest, Apache Iceberg