Sr. Cloud Data Engineer

4 weeks ago

Minneapolis, United States AdvantEdge Full time

Position: Sr. Cloud Data Engineer

Location: Minneapolis, MN

Duration: 6 Months to Extend

Job Type: Contract

Work Type: Hybrid Weekly thrice onsite

Pay Rate: $63.00/h to $65.00/h

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 environment
  • Participate in the planning and prioritization of development tasks, ensuring efficient use of resources and timely delivery of projects
  • Collaborate 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 tools
  • Knowledge of database management systems, data modeling, and data warehousing best practices
  • Strong coding skills in languages such as Pyspark, Scala, and SQL
  • Experience in data streaming technologies such as Kafka, Kinesis, or Pub/Sub
  • Experience in handling unstructured streaming data is highly desired
  • Experience in software development on a team using Agile methodology
  • Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions
  • Knowledge of DevOps tools and techniques (Ex: CI/CD, Azure DevOps, etc.)
  • Knowledge of data governance and security practices

Qualifications

  • 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 GCP
  • 5+ 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 warehousing
  • 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation
  • We 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.

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