Senior Data Engineer (Property Reinsurance/ Speciality Reinsurance ) 100% Remote

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Position Overview

Avesta Computer Services is seeking a highly skilled Senior Data Engineer with a focus on Property Reinsurance and Specialty Reinsurance to join our dynamic team, working entirely remotely. The ideal candidate will play a pivotal role in designing, building, and optimizing data pipelines and infrastructure to support analytical and operational functions. This position involves collaborating with cross-functional teams to understand business requirements and transform them into scalable data architecture, ensuring the delivery of high-quality data solutions that empower decision-making across the organization.

Job Responsibilities

• Design, develop, and implement robust data pipelines to ingest, process, and store large datasets efficiently.
• Collaborate with stakeholders to gather requirements and translate them into technical specifications for data solutions.
• Maintain and optimize existing ETL processes, ensuring data accuracy, integrity, and availability.
• Develop and enhance the data architecture to support business intelligence initiatives and analytical projects.
• Monitor and troubleshoot data workflows to ensure timely and dependable data delivery.
• Implement data quality checks and validation processes to maintain high data standards.
• Stay updated on industry trends and best practices in data engineering and reinsurance domains to continuously improve practices.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field; Master’s degree preferred.
• A minimum of 5 years of experience in data engineering, with a concentration in reinsurance or insurance analytics.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and data modeling techniques.
• Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
• Experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Knowledge of data warehousing solutions and data visualization tools.
• Excellent problem-solving skills and the ability to work independently and as part of a team.

Technologies & Tools

The Senior Data Engineer will be working with a range of advanced technologies and tools, including but not limited to data integration platforms like Apache NiFi, cloud services such as AWS & Azure, and database systems including PostgreSQL and NoSQL solutions like MongoDB. Knowledge and experience with data processing frameworks such as Apache Spark and DWH tools will be essential for managing large datasets and ensuring efficient data workflows.

Ideal Candidates

The ideal candidate for this position will possess a proactive approach to problem-solving and a passion for working with data in the reinsurance industry. They should demonstrate strong analytical skills, attention to detail, and the ability to communicate complex technical concepts to non-technical stakeholders. A collaborative spirit and the ability to work effectively in a fully remote team environment are also essential traits, along with a commitment to continuous learning and professional development in the ever-evolving field of data engineering.