Senior Data Engineer - Remote | WFH

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Overview

The Senior Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and architecture to support analytical and operational needs within a data-driven organization. This role involves collaborating with cross-functional teams to implement data solutions that enable data accessibility and insights while ensuring data quality and integrity. The ideal candidate will possess a strong technical background and the ability to effectively communicate complex data concepts to various stakeholders, driving the organization's data strategy forward.

Job Responsibilities

• Design, develop, and maintain scalable data pipelines to effectively transfer and transform data across various platforms.
• Collaborate with Data Scientists and Analysts to understand data requirements and deliver comprehensive data solutions.
• Optimize existing data processes and frameworks for performance, scalability, and efficiency.
• Ensure data accuracy and integrity through automated testing and validation procedures.
• Implement best practices for data governance and security across all data assets.
• Participate in code reviews and provide mentorship to junior data engineering staff.
• Stay current with emerging technologies and trends to continuously improve data engineering practices.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
• 5+ years of experience in data engineering or a related field, with a proven track record of building data pipelines.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with cloud-based data services (e.g., AWS, Google Cloud, or Azure) and data storage technologies (e.g., SQL, NoSQL databases).
• Familiarity with ETL processes and tools (e.g., Apache Airflow, Talend, or similar).
• Strong understanding of data architecture principles and database design.
• Excellent problem-solving and analytical skills, with attention to detail.

Technologies & Tools

The Senior Data Engineer will utilize a diverse set of technologies and tools including but not limited to Python, SQL, Apache Spark, AWS (Athena, Redshift), Apache Airflow, and version control systems such as Git. Knowledge of data visualization tools like Tableau or Power BI may also be beneficial for the role. Additionally, familiarity with machine learning frameworks can enhance the collaborative efforts with data science teams.

Ideal Candidates

Ideal candidates for the Senior Data Engineer position will exhibit strong analytical and critical thinking skills, enabling them to assess data-related challenges and devise effective solutions. They should have exceptional communication skills to translate complex technical information into easily understandable concepts for non-technical stakeholders. A proactive attitude towards learning and adapting to new technologies, combined with a passion for data and collaboration, will significantly contribute to their success in this role. Furthermore, candidates should be team-oriented, reliable, and capable of managing multiple projects effectively in a fast-paced remote work environment.