Remote Data Engineer II for Cloud Solutions

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Job Overview

Get It - Professional Services is seeking a Remote Data Engineer II specializing in Cloud Solutions. In this role, the successful candidate will be responsible for designing, building, and maintaining data processing pipelines on cloud platforms, ensuring high data quality and availability. The Data Engineer will collaborate with data scientists and software engineers to optimize data workflows, improve data accessibility, and support analytics-driven decision-making across the organization. This position requires a balance of technical competency and effective communication skills, to drive data strategies that align with business objectives.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines in the cloud environment.
• Conduct data modeling, integration, and transformation processes to ensure data accuracy and availability.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions that support business needs.
• Monitor and optimize data workflows for performance efficiency and cost-effectiveness.
• Implement best practices in data governance and security protocols.
• Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.
• Continue advancing knowledge of cloud technologies and data engineering methodologies.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• A minimum of 3 years of experience in data engineering or a similar role.
• Extensive experience with SQL and NoSQL databases.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data processing frameworks like Apache Spark or Hadoop.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent verbal and written communication skills.

Technologies & Tools

The Remote Data Engineer II will utilize a range of technologies and tools including cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Familiarity with data integration tools such as Apache Spark and orchestration frameworks like Apache Airflow will be essential. The role also requires competency in database technologies such as MySQL, PostgreSQL, MongoDB, and proficiency in programming languages, particularly Python and SQL for data manipulation and analysis.

Ideal Candidates

Ideal candidates for the Remote Data Engineer II position will exhibit a strong drive for innovation and a passion for working with data. They should possess a growth mindset, demonstrating curiosity and a willingness to learn and adapt to new technologies and methodologies. Strong collaboration skills are crucial, as the candidate will work closely with various teams within the organization. A proactive approach to problem-solving and ability to thrive in a fast-paced, dynamic environment will further distinguish successful applicants.