Sr. Cloud Data Engineer for Remote

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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 Sr. Cloud Data Engineer at Dice will be responsible for designing, implementing, and maintaining data solutions in cloud environments. This role encompasses the development of scalable data pipelines, ensuring data integrity and availability, and collaborating with cross-functional teams to fulfill the data needs of various stakeholders. The ideal candidate will leverage their expertise in cloud technology and data engineering to enhance data ingestion, processing, and storage capabilities, playing a pivotal role in driving data-driven decision-making across the organization.

Job Responsibilities

• Design and implement robust data pipelines and workflows on cloud platforms.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Optimize data architecture for performance, scalability, and productivity.
• Monitor and troubleshoot data pipeline performance issues.
• Document engineering processes, procedures, and data models for team reference.
• Stay up-to-date with emerging technologies and best practices in cloud data engineering.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering or a related field.
• Expertise in cloud platforms such as AWS, Azure, or Google Cloud.
• Proficient in programming languages including Python, Java, or Scala.
• Strong experience with ETL processes, data warehousing, and database programming (e.g., SQL).
• Knowledge of big data technologies (e.g., Hadoop, Spark) is highly desirable.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.

Technologies & Tools

The Sr. Cloud Data Engineer will primarily utilize cloud data services and platforms such as AWS Redshift, Azure Synapse, or Google BigQuery for data warehousing. The individual will also work with data integration tools (e.g., Apache NiFi, Talend), big data frameworks (e.g., Apache Spark, Apache Kafka), and display proficiency in programming tools such as Jupyter Notebooks for data analysis and visualization.

Ideal Candidates

Ideal candidates for the Sr. Cloud Data Engineer position will demonstrate a strong analytical mindset coupled with effective problem-solving skills. They should possess excellent communication abilities to relay technical concepts to non-technical stakeholders, fostering collaboration. A proactive attitude toward innovation and continuous improvement, along with the ability to adapt to dynamic project requirements, will be essential for success in this role. Additionally, candidates should be enthusiastic about leveraging data to impact business strategy positively.