LOCAL to Naperville,IL ONLY!
Role Descriptions: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Essential Skills: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Python Web Frameworks~MySQL
Experience Required: 6-8, Project Code :
Role Descriptions: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Essential Skills: Role OverviewWe are looking for a Junior AWS Data Engineer to support the design| development| and maintenance of scalable data pipelines and cloud-based data solutions on Amazon Web Services (AWS). The ideal candidate will work under the guidance of senior data engineers and contribute to building reliable ETL processes that enable data-driven decision-making.This role is well-suited for candidates with a strong foundation in Python| SQL| and AWS data services| who are eager to learn and grow in a cloud data engineering environment.Key ResponsibilitiesAssist in the development and maintenance of ETLdata pipelines using AWS services such as AWS Glue| S3| Redshift| and LambdaSupport data ingestion| transformation| and validation from multiple structured and semi-structured data sourcesWrite and optimize SQL queries for data transformation and analysisDevelop basic Python PySpark scripts for data processing and automationParticipate in data quality checks| monitoring| and basic troubleshooting of data pipelinesCollaborate with senior engineers| analysts| and stakeholders to understand data requirementsFollow established coding standards| security practices| and data governance guidelinesAssist in documentation of data pipelines| processes| and technical designsRequired Skills QualificationsBachelors degree in Computer Science| Information Technology| Engineering| or a related field02 (or up to 3) years of experience in data engineering| data development| or cloud-based projectsWorking knowledge of AWS servicesS3| AWS Glue| Redshift| Lambda (at least 23 of these)Proficiency in SQL and basic-to-intermediate PythonFamiliarity with ETL concepts| data warehousing| and relational databasesUnderstanding of basic cloud concepts and distributed systemsExperience with Git or any version control system
Desirable Skills:
Keyword:
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Python Web Frameworks~MySQL
Experience Required: 6-8, Project Code :