Tekwissen
Sr. Cloud Data Engineer
Tekwissen, Minneapolis, Minnesota, United States, 55400
Overview :
TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. Our client is a company that specializes in global climate technologies. It operates in the Climate segment that delivers energy efficient products and energy services. The company offers the client and American Standard Heating & Air Conditioning which provides heating, ventilation, and air conditioning (HVAC) systems, and commercial and residential building services, parts, support, and controls; energy services and building automation.
Position: Sr. Cloud Data Engineer
Location: Minneapolis, MN
Duration: 6 Months
Job Type: Contract
Work Type: Hybrid
Job Description:
Job Summary:As a Cloud Data Engineer, you will play a crucial role in the client organization, in processing and analysing IoT data from our connected products to drive value for our customers.You will be responsible for delivering analytical data solutions for both internal and external customers.The Cloud Data Engineer plays an active role in designing, developing, deploying, and monitoring data pipelines as part of our connected product solution.The ideal candidate will have a strong background in data pipelines, data warehouses, data streaming, data quality, databases, and other business intelligence patterns and tooling.Responsibilities
Develop and implement strategies for processing and analysing large volumes of IoT data, ensuring scalability and performance.Design, develop, and maintain streaming and batch data pipelines in our AWS cloud environmentParticipate in the planning and prioritization of development tasks, ensuring efficient use of resources and timely delivery of projectsCollaborate with data analysts and data scientists to understand their data requirements and develop solutions to meet their needs.Optimize and tune data pipelines for performance and scalability.Develop and maintain monitoring and alerting solutions to ensure data quality and availability.Collaborate with our Platform team to ensure data analytics infrastructure is secure, reliable, and highly available.Continuously research and evaluate new tools and technologies to improve data processing and analytics capabilities.Conduct code reviews to ensure adherence to coding standards and best practices.Capture and document data lineage, metadata, and data dictionaries to ensure comprehensive data governance.Key Competencies
Advanced knowledge of cloud technologies and services, specifically around Amazon Web Services (AWS) Data Analytics tools (ex: Glue, Redshift, Lambda, Kinesis)Broad understanding of data engineering methodologies and tools, including data warehousing, DevOps/DataOps, data ingestion, ELT/ETL, and data visualization toolsKnowledge of database management systems, data modeling, and data warehousing best practicesStrong coding skills in languages such as Pyspark, Scala, and SQLExperience in data streaming technologies such as Kafka, Kinesis, or Pub/SubExperience in handling unstructured streaming data is highly desiredExperience in software development on a team using Agile methodologyKnowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing DimensionsKnowledge of DevOps tools and techniques (Ex: CI/CD, Azure DevOps, etc.)Knowledge of data governance and security practicesQualifications
Bachelor's degree in computer science, Information Technology, or a related field.8+ years' experience with cloud data and analytics platforms such as AWS, Azure, or GCP5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automationWe offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives.We are proud of our winning culture which is inclusive and respectful at its core.We share a passion for serving customers, caring for others, and boldly challenging what's possible for a sustainable world.We are committed to achieving workforce diversity reflective of our communities.We are an equal-opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
TekWissen Group is a workforce management provider throughout the USA and many other countries in the world. Our client is a company that specializes in global climate technologies. It operates in the Climate segment that delivers energy efficient products and energy services. The company offers the client and American Standard Heating & Air Conditioning which provides heating, ventilation, and air conditioning (HVAC) systems, and commercial and residential building services, parts, support, and controls; energy services and building automation.
Position: Sr. Cloud Data Engineer
Location: Minneapolis, MN
Duration: 6 Months
Job Type: Contract
Work Type: Hybrid
Job Description:
Job Summary:As a Cloud Data Engineer, you will play a crucial role in the client organization, in processing and analysing IoT data from our connected products to drive value for our customers.You will be responsible for delivering analytical data solutions for both internal and external customers.The Cloud Data Engineer plays an active role in designing, developing, deploying, and monitoring data pipelines as part of our connected product solution.The ideal candidate will have a strong background in data pipelines, data warehouses, data streaming, data quality, databases, and other business intelligence patterns and tooling.Responsibilities
Develop and implement strategies for processing and analysing large volumes of IoT data, ensuring scalability and performance.Design, develop, and maintain streaming and batch data pipelines in our AWS cloud environmentParticipate in the planning and prioritization of development tasks, ensuring efficient use of resources and timely delivery of projectsCollaborate with data analysts and data scientists to understand their data requirements and develop solutions to meet their needs.Optimize and tune data pipelines for performance and scalability.Develop and maintain monitoring and alerting solutions to ensure data quality and availability.Collaborate with our Platform team to ensure data analytics infrastructure is secure, reliable, and highly available.Continuously research and evaluate new tools and technologies to improve data processing and analytics capabilities.Conduct code reviews to ensure adherence to coding standards and best practices.Capture and document data lineage, metadata, and data dictionaries to ensure comprehensive data governance.Key Competencies
Advanced knowledge of cloud technologies and services, specifically around Amazon Web Services (AWS) Data Analytics tools (ex: Glue, Redshift, Lambda, Kinesis)Broad understanding of data engineering methodologies and tools, including data warehousing, DevOps/DataOps, data ingestion, ELT/ETL, and data visualization toolsKnowledge of database management systems, data modeling, and data warehousing best practicesStrong coding skills in languages such as Pyspark, Scala, and SQLExperience in data streaming technologies such as Kafka, Kinesis, or Pub/SubExperience in handling unstructured streaming data is highly desiredExperience in software development on a team using Agile methodologyKnowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing DimensionsKnowledge of DevOps tools and techniques (Ex: CI/CD, Azure DevOps, etc.)Knowledge of data governance and security practicesQualifications
Bachelor's degree in computer science, Information Technology, or a related field.8+ years' experience with cloud data and analytics platforms such as AWS, Azure, or GCP5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automationWe offer competitive compensation and comprehensive benefits and programs that help our employees thrive in both their professional and personal lives.We are proud of our winning culture which is inclusive and respectful at its core.We share a passion for serving customers, caring for others, and boldly challenging what's possible for a sustainable world.We are committed to achieving workforce diversity reflective of our communities.We are an equal-opportunity employer.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.