Senior Data Engineer (Senior Software Engineer III)

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Position Overview

The Senior Data Engineer (Senior Software Engineer III) at Rockerbox will be crucial in designing, implementing, and maintaining scalable data pipelines and architectures. This individual will collaborate with cross-functional teams to ensure data integrity and availability for various analytical and operational applications. The role demands a strong background in data engineering practices, along with expertise in cloud technologies, big data ecosystems, and programming skills that will contribute to building robust data solutions that support our business objectives.

Job Responsibilities

• Design and develop scalable data pipelines to facilitate the ETL process and data integration from various sources.
• Optimize data storage and retrieval processes to ensure high performance and efficiency.
• Collaborate with data scientists and analysts to define data requirements and deliver insights effectively.
• Implement data governance and quality control measures to ensure data integrity.
• Monitor and maintain data systems, troubleshooting issues as they arise.
• Conduct performance tuning, and recommend solutions to enhance data processing methods.
• Stay current with emerging technologies and industry trends to continually improve data engineering practices.

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, or a related field; Master’s degree preferred.
• 5+ years of experience in data engineering or software engineering roles.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies including Hadoop, Spark, or similar frameworks.
• Strong knowledge of SQL and NoSQL databases such as PostgreSQL, MongoDB, or equivalent.
• Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and their data services.
• Excellent problem-solving skills and analytical thinking.

Technologies & Tools

The Senior Data Engineer will work with a variety of technologies and tools, including but not limited to cloud platforms like AWS or Google Cloud, big data processing frameworks such as Apache Spark and Hadoop, and data warehousing solutions. Proficiency in SQL and NoSQL databases will be crucial, along with experience in data integration technologies and ETL tools. Familiarity with version control systems like Git, along with data visualization tools, will be a plus.

Ideal Candidates

The ideal candidates for the Senior Data Engineer position will possess an innovative mindset and strong technical acumen, enabling them to tackle complex data challenges effectively. They should demonstrate effective communication skills to liaise with various stakeholders and participate actively in a collaborative team environment. A passion for continuous learning and staying updated with emerging technologies is essential, as well as a strong commitment to delivering high-quality data solutions that drive business value.