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Experienced Full Stack Data Engineer – Web & Cloud Application Development

Work from home Full-time role Hiring

Join arenaflex, a leading company in the industry, as we seek enthusiastic individuals for immediate openings in data engineering roles. No prior experience is required - just a willingness to learn and a passion for contributing to a team-driven workplace.

About arenaflex

arenaflex is a dynamic and innovative company that is revolutionizing the way data is collected, processed, and analyzed. With a strong focus on data-driven decision making, we are constantly seeking talented individuals to join our team and help us push the boundaries of what is possible.

Unexpected Expected Set of Responsibilities

As a Data Engineer at arenaflex, you will play a vital role in designing and developing data pipelines that drive business insights and inform strategic decisions. You will work closely with cross-functional teams to design, build, and deploy scalable data architectures that meet the needs of our business stakeholders.

Fundamental Work Obligations and Obligations

* Understanding inside and out both the business and technical issues that Dataworks intends to address

  • Building tools, stages, and pipelines to empower teams to clearly and neatly investigate data, build models, and drive decisions
  • Scaling from "PC scale" to "team scale" issues, as far as both infrastructure and problem design and method
  • Collaborating across teams to drive the creation of data-driven functional insights that mean high-value improved solutions
  • Delivering clear value quickly, working together with different teams of changing backgrounds and disciplines
  • Classifying best practices for future reuse as available, reusable examples, layouts, and code bases
  • Connecting with senior technologists from the wider project and beyond arenaflex (partner environments and clients) to make collaborative energies and ensure smooth arrangements to downstream functional frameworks

Expertise/Information Thought about an Or more

* Technical foundation in software engineering, programming, data set frameworks, distributed frameworks

  • Familiarity with distributed and cloud conditions and a deep understanding of enhancing computational considerations with theoretical properties
  • Experience in building robust cloud-based data designing and curation solutions to make data items useful for various applications
  • Detailed knowledge of the Microsoft Azure tooling for large-scale data designing endeavors and solutions is highly preferred. Experience with any combination of the following Azure tools: Azure Databricks, Azure Data Factory, Azure SQL D, Azure Machine Learning
  • Creating and operationalizing functions and solutions including under close to real-time high-volume streaming circumstances
  • Active development abilities with the capacity to work at the code level and help troubleshoot hard to determine issues
  • A convincing history of planning and conveying large-scale technical solutions, which convey clear, ongoing value
  • Direct experience having constructed and conveyed strong, complex production frameworks that carry out current, data handling strategies at scale
  • Capacity to setting switch, to offer support to scattered teams which might require an "expert programmer" to unblock a particularly difficult technical obstruction, and to figure out through issues as they are still being defined
  • Exhibited capacity to convey technical projects with a team, frequently working under close time requirements to convey value
  • An 'engineering' attitude, able to make fast, practical decisions to further improve execution, speed up progress or amplify influence
  • Comfort with working with distributed teams on code-based expectations, utilizing version control frameworks and code reviews
  • Capacity to lead data analysis, examination, and heredity studies to record and upgrade data quality and access
  • Utilization of coordinated and devops practices for project and software management including continuous integration and continuous delivery

Shown mastery working with some of the following common languages and tools:

* Spark (Scala and PySpark), Kafka and other high-volume data tools

  • SQL and NoSQL storage tools, like MySQL, Postgres, MongoDB/CosmosDB
  • Java, Python data tools
  • Azure DevOps experience to follow work, develop using git-integrated version control examples, and build and use CI/CD pipelines
  • Working knowledge and experience executing data engineering examples to help shifting business needs
  • Experience with various data types (json, xml, parquet, avro, unstructured) for both batch and streaming ingestions
  • Utilization of Azure Kubernetes Services, Eventhubs, or other related advancements to carry out streaming ingestions
  • Experience creating and carrying out warning and monitoring systems
  • Working knowledge on Infrastructure as Code (IaC) through Terraform to make and convey assets
  • Execution experience across various data stores, messaging frameworks, and data processing engines
  • Data joining through APIs as well as REST service
  • PowerPlatform (PowerBI, PowerApp, PowerAutomate) development experience an or more

Least Capabilities:

* Information Architect I: + Four-year college education in Data Frameworks, Software engineering or a quantitative discipline like Math or Designing or potentially One (1) year comparable conventional preparation or work insight + Essential information in information designing and AI structures including plan, advancement and execution of profoundly complex frameworks and information pipelines + Essential information in Data Frameworks including plan, advancement and execution of huge cluster or online exchange based frameworks + Experience as a lesser individual from multi-utilitarian undertaking groups + Solid oral and composed relational abilities + A connected postgraduate education might counterbalance the connected experience prerequisites

  • Information Specialist II:

+ Four-year certification in Software engineering, Data Frameworks, a connected quantitative field, for example, Designing or Math or identical proper preparation or work insight + Two (2) years comparable work insight in estimation and examination, quantitative business critical thinking, reproduction improvement and additionally prescient examination + Solid information in information designing and AI structures including plan, improvement and execution of profoundly complex frameworks and information pipelines + Solid information in Data Frameworks including plan, advancement and execution of huge group or online exchange based frameworks + Solid comprehension of the transportation business, contenders, and developing advancements + Experience as an individual from multi-utilitarian undertaking groups + Solid oral and composed relational abilities + A connected postgraduate education might balance the connected experience prerequisites

  • Information Designer III:

+ Four-year college education in Data Frameworks, Software engineering or a quantitative discipline like Math or Designing as well as comparable conventional preparation or work insight + Three to Four (3 - 4) years identical work insight in estimation and examination, quantitative business critical thinking, recreation improvement or potentially prescient examination + Broad information in information designing and AI structures including plan, advancement and execution of exceptionally complex frameworks and information pipelines + Broad information in Data Frameworks including plan, advancement and execution of enormous cluster or online exchange based frameworks + Solid comprehension of the transportation business, contenders, and advancing advancements + Experience giving authority in a general preparation or counseling setting + Experience as a senior individual from multi-utilitarian undertaking groups + Solid oral and composed relational abilities + A connected postgraduate education might counterbalance the connected experience necessities

  • Information Designer Lead:

+ Four-year college education in Data Frameworks, Software engineering, or a quantitative discipline like Science or Designing as well as identical conventional preparation or work insight + Five to Seven (5 - 7) years identical work insight in estimation and examination, quantitative business critical thinking, recreation improvement or potentially prescient examination + Broad information in information designing and AI structures including plan, advancement and execution of exceptionally complex frameworks and information pipelines + Broad information in Data Frameworks including plan, advancement and execution of enormous bunch or online exchange based frameworks + Solid comprehension of the transportation business, contenders, and developing advancements + Experience giving initiative in a general preparation or counseling setting + Experience as a pioneer or a senior individual from multi-capability project groups + Solid oral and composed relational abilities + A connected postgraduate education might balance the connected experience necessities

Residence/Movement Data:

* This position can be domiciled anywhere in the US.

Application Standards:

* Transfer current copy of Resume (Microsoft Word or PDF format only) and answer work screening survey.

Extra Data

* Colorado, Nevada, Connecticut, New York, California, Rhode Island, Washington, Hawaii, Illinois, and New Jersey Residents Only - Compensation: Monthly Pay: $6,317.00 - $15,477.00. This pay range is provided as a reasonable estimate of the current starting compensation range for this job. Factors that may be used to determine your actual compensation may include but are not limited to your education, experience, skills, and performance. Apply Job! Apply for this job

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