Full Time

Senior Cloud Data Engineer - Remote / Telecommute

Dice
Remote!
$110,000 - $150,000* / year

Job Description

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Written by AI from the job title and company, not by Dice, so some details may not match this job. The employer's own page has the real description.


Job Overview

The Senior Cloud Data Engineer will play a pivotal role in driving our cloud data initiatives by designing, developing, and deploying data solutions that enhance our data capabilities. This position entails collaborating with data architects, data scientists, and other stakeholders to improve data pipelines and ensure data integrity and availability. The ideal candidate will leverage their expertise in cloud technologies to optimize data storage and retrieval processes, ultimately enhancing our decision-making processes through efficient data management.



Job Responsibilities

  • Design and implement robust data pipelines on cloud platforms to support data ingestion, transformation, and reporting processes.
  • Collaborate with cross-functional teams to gather and analyze data requirements for various projects.
  • Monitor and optimize existing data workflows to ensure efficient data processing and storage.
  • Develop and maintain cloud-based data models with a focus on performance, scalability, and data integrity.
  • Implement best practices for data governance, security, and compliance within cloud environments.
  • Provide mentorship and guidance to junior data engineers and collaborate on technical decision-making.
  • Stay updated with emerging cloud technologies and data engineering trends to suggest improvements and innovations.


Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree is preferred.
  • Minimum of 5 years of experience in data engineering, with at least 2 years in a cloud environment.
  • Proficiency in SQL and experience with NoSQL databases such as MongoDB, Cassandra, or similar technologies.
  • Strong experience with cloud platforms such as AWS, Azure, or Google Cloud, specifically services related to data storage and processing.
  • Knowledge of data warehousing solutions and ETL processes.
  • Experience with programming languages such as Python, Java, or Scala.
  • Excellent problem-solving skills and the ability to work independently in a remote setting.


Technologies & Tools

The Senior Cloud Data Engineer will work with a variety of technologies and tools designed for data management and cloud computing. This includes Amazon Web Services (AWS) for cloud solutions, Apache Spark or Hadoop for big data processing, and tools like Apache Airflow for workflow automation. Familiarity with data visualization tools such as Tableau or Power BI, as well as CI/CD tools for deployment, will also be essential in this role.



Ideal Candidates

Ideal candidates for the Senior Cloud Data Engineer position will possess a strong analytical mindset combined with a proactive approach to problem-solving. They should exhibit excellent communication and collaboration skills, enabling them to work effectively with teams across the organization. A strong aptitude for learning new technologies and a continual improvement mindset will set successful candidates apart, as will their ability to manage multiple projects and priorities in a fast-paced remote environment.


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