Collabera
Data Engineer (Cloud)
Collabera, Chicago, Illinois, United States, 60290
Description
HomeSearch JobsJob Description
Data Engineer (Cloud)
Contract: Chicago, Illinois, US
Salary: $70.00 Per Hour
Job Code: 354032
End Date: 2024-10-19Days Left: 26 days, 3 hours left
Apply
Job Title:
Data Engineer (Cloud)
Location:
Remote Role
Duration: 3 + Months Contract Role (End of the year) + ExtensionPay Range:
$65/hr to $70/hr
Job Description:
The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. Responsibilities:
Work with Product team to determine requirements and propose approaches to address users' needsAnalyze requirements to determine approach/proposed solutionDesign and Build Solutions using relevant programming languagesThoroughly test solutions using relevant approaches and toolsConduct research into software-related issues and productsBring out-of-box thinking and solutions to address challenging issuesEffectively prioritize and execute tasks in a fast-paced environmentWork both independently and in a team-oriented, collaborative environmentFlexible and adaptable to learning and understanding new technologiesHighly self-motivated and directe
Must have skills:Strong verbal and written communication skillsDemonstrate integrity and maturity, and a constructive approach to challengesDemonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environmentsOpen-minded, solution-oriented and a very good team playerHands-on experience in developing Data Lake and Data Warehouse and Data MartsExperience in industry-standard ETL/ELT toolsHands-on experience with AWS cloud architecture and development using AWS resources like S3, Lambda, API Gateway, RDS, etcProficiency in relational databases (Snowflake, Redshift, etc), database concepts and dimensional modelingExperience in data cleansing, data validation and data wranglingProficiency in SQL and Scripting (Unix sell scripts, Python)Hands-on experience in troubleshooting complex ETL and SQL problemsHands-on experience in designing and building data pipelines in AWS cloud using S3, Lambda, API Gateway, RDS, Redshift, etc.Good to have Skills:
Experience in data pipeline development using ETL tool, Informatica IICSExperience in scripting languages, Unix scripting and PythonTECHNICAL QUALIFICATIONS:
6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, and analytics.4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards.Experience with data warehousing platforms such as Snowflake, Redshift or similar.Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.Experience with DataBase technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, Mongo DataBase, Redis).Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation, and Terraform).The high degree of knowledge of IAM Roles and PoliciesStrong knowledge of configuring AWS cloud monitoring and alerts for cloud resource availability.Strong scripting experience using PowerShell and/or Python.A high degree of knowledge in PaaS and SaaS application performance.Understand enterprise-level application architecture diagrams and IT security requirements.PREFERRED EXPERIENCE:
Experience with large-scale enterprise streaming services such as Kafka.Experience with Kubernetes and Docker containers or AWS Fargate.Experience implementing applications with both Windows and Linux server OSExperience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or WindowsAdvanced CS degree.Thank you
Job Requirement
Data WarehousingDataBig DataAWSCloudSnowflakeRedshiftRedisSQLPython AWS AuroraCI/CDPipelinesCloud FormationTerraformIICSScriptingReach Out to a RecruiterRecruiterEmailPhoneParth Shahparth.rshah@collabera.com
Apply Now
HomeSearch JobsJob Description
Data Engineer (Cloud)
Contract: Chicago, Illinois, US
Salary: $70.00 Per Hour
Job Code: 354032
End Date: 2024-10-19Days Left: 26 days, 3 hours left
Apply
Job Title:
Data Engineer (Cloud)
Location:
Remote Role
Duration: 3 + Months Contract Role (End of the year) + ExtensionPay Range:
$65/hr to $70/hr
Job Description:
The Senior Data Engineer will design, code, test, and analyze software programs and applications. This includes researching, designing, documenting, and modifying software specifications throughout the production lifecycle. This role will also analyze and amend software errors in a timely and accurate fashion and provide status reports where required. The position responsibilities outlined below are not all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. Responsibilities:
Work with Product team to determine requirements and propose approaches to address users' needsAnalyze requirements to determine approach/proposed solutionDesign and Build Solutions using relevant programming languagesThoroughly test solutions using relevant approaches and toolsConduct research into software-related issues and productsBring out-of-box thinking and solutions to address challenging issuesEffectively prioritize and execute tasks in a fast-paced environmentWork both independently and in a team-oriented, collaborative environmentFlexible and adaptable to learning and understanding new technologiesHighly self-motivated and directe
Must have skills:Strong verbal and written communication skillsDemonstrate integrity and maturity, and a constructive approach to challengesDemonstrate analytical and problem-solving skills, particularly those that apply to Data Warehouse and Big Data environmentsOpen-minded, solution-oriented and a very good team playerHands-on experience in developing Data Lake and Data Warehouse and Data MartsExperience in industry-standard ETL/ELT toolsHands-on experience with AWS cloud architecture and development using AWS resources like S3, Lambda, API Gateway, RDS, etcProficiency in relational databases (Snowflake, Redshift, etc), database concepts and dimensional modelingExperience in data cleansing, data validation and data wranglingProficiency in SQL and Scripting (Unix sell scripts, Python)Hands-on experience in troubleshooting complex ETL and SQL problemsHands-on experience in designing and building data pipelines in AWS cloud using S3, Lambda, API Gateway, RDS, Redshift, etc.Good to have Skills:
Experience in data pipeline development using ETL tool, Informatica IICSExperience in scripting languages, Unix scripting and PythonTECHNICAL QUALIFICATIONS:
6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, and analytics.4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards.Experience with data warehousing platforms such as Snowflake, Redshift or similar.Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.Experience with DataBase technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, Mongo DataBase, Redis).Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation, and Terraform).The high degree of knowledge of IAM Roles and PoliciesStrong knowledge of configuring AWS cloud monitoring and alerts for cloud resource availability.Strong scripting experience using PowerShell and/or Python.A high degree of knowledge in PaaS and SaaS application performance.Understand enterprise-level application architecture diagrams and IT security requirements.PREFERRED EXPERIENCE:
Experience with large-scale enterprise streaming services such as Kafka.Experience with Kubernetes and Docker containers or AWS Fargate.Experience implementing applications with both Windows and Linux server OSExperience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or WindowsAdvanced CS degree.Thank you
Job Requirement
Data WarehousingDataBig DataAWSCloudSnowflakeRedshiftRedisSQLPython AWS AuroraCI/CDPipelinesCloud FormationTerraformIICSScriptingReach Out to a RecruiterRecruiterEmailPhoneParth Shahparth.rshah@collabera.com
Apply Now