Position Details

Type Not Specified

Experience mid

Exp. Years 3+ years

Education Not specified

Category Data & Analytics

About this role

This role involves designing and optimizing data models and pipelines for Amazon's payment and credit systems, supporting analytics and fraud detection.

Key Responsibilities

Design data models
Build data pipelines
Optimize data performance
Collaborate with cross-functional teams
Support analytics and fraud detection

Technical Overview

The technical environment includes data modeling, ETL pipelines, SQL, Python, Java, Scala, and AWS cloud services like Redshift, S3, Glue, and EMR.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 3+ years of experience in data modeling, ETL pipeline development, and AWS cloud technologies, capable of handling large datasets and optimizing performance.

Must-Have Skills

3+ years of data engineering experience4+ years of SQL experienceExperience with data modeling and ETL pipelinesExperience with PythonJavaor ScalaExperience with large-scale datasets and performance optimization

Nice-to-Have Skills

AWS technologies like RedshiftS3AWS GlueEMRKinesisFireHoseLambdaBig data frameworks like SparkHadoop

Tools & Platforms

AWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaHadoopSpark

Required Skills

Data modelingData warehousingETL pipelinesSQLPythonJavaScalaAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaHadoopSparkDistributed Systems

Hard Skills

Data modelingData warehousingETL pipelinesSQLPythonJavaScalaAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAMBig DataHadoopDistributed Systems

Soft Skills

collaborationproblem-solvingperformance optimizationteamworkcommunication

Industry & Role

Industry Financial Services, E-commerce, Payments

Job Function Data engineering for payment and credit data infrastructure

Role Subtype Data Engineer

Tech Domains Amazon Web Services, SQL / PostgreSQL, Hadoop, Spark, AWS Glue, EMR, Kinesis, S3

Keywords for Your Resume

Data EngineerData modelingData warehousingETL pipelinesSQLPythonJavaScalaAWSRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAMHadoopSparkDistributed Systems

Deal Breakers

Less than 3 years of data engineering experience, No experience with AWS or big data frameworks, Lack of SQL or programming skills, No experience with large datasets, No relevant education or experience

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Data Engineer II, Amazon Payment Products

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