Position Details

Type Full-Time

Experience mid

Exp. Years 5+ years

Education Bachelor’s degree from an accredited college or university in computer science, statistics, mathematics, economics, or related field

Category Data & Analytics

About this role

This role involves designing and maintaining data pipelines, integrating diverse data sources, and leveraging AWS cloud services to support advanced data analytics and reporting.

Key Responsibilities

Design data pipelines
Transform legacy systems
Ensure data quality
Leverage AWS services
Support analytics

Technical Overview

Utilizes Python, SQL, R, SAS, Scala, and AWS tools like S3, EMR, Glue, Lambda, Athena, Redshift, and SageMaker for data transformation, pipeline development, and data quality assurance.

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years experience in Python, SQL, and AWS cloud services, capable of designing scalable data pipelines and managing large-scale data workflows.

Must-Have Skills

PythonSQLData pipelinesETL processesData integration

Nice-to-Have Skills

AWS servicesS3EMRGlueLambdaAthenaRedshiftSageMakerData cleaningData validation

Tools & Platforms

PythonSQLAWSS3EMRGlueLambdaAthenaRedshiftSageMaker

Required Skills

PythonSQLRSASScalaData integrationETL processesAWSS3EMRGlueLambdaAthenaRedshiftSageMakerData processingData pipelinesData cleaningData validationData analysis

Hard Skills

PythonSQLRSASScalaData integrationETL processesAWSS3EMRGlueLambdaAthenaRedshiftSageMakerData processingData pipelinesData cleaningData validationData analysis

Soft Skills

CollaborationProblem-solvingCommunicationAttention to detailTeamwork

Industry & Role

Industry Technology / Data Services

Job Function Data pipeline development and cloud data management

Role Subtype Data Engineer

Tech Domains Python, SQL, AWS, S3, EMR, Glue, Lambda, Athena, Redshift, SageMaker

Keywords for Your Resume

Data engineerPythonSQLETL processesData pipelinesData integrationAWSS3EMRGlueLambdaAthenaRedshiftSageMakerData cleaningData validationData analysisData processingData workflows

Deal Breakers

Lack of experience with AWS services, No proficiency in Python and SQL, No experience with data pipelines or ETL processes

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