Sr. Data Engineer

The objectives of a Senior Data Engineer typically revolve around designing, implementing, and managing robust data architectures and infrastructures. The Senior Data Engineer will play a key role in driving the organization's data strategy, ensuring the efficient flow and storage of data, and supporting data-driven decision-making processes.

1. Data Model Design:

• Develop and maintain a scalable and efficient data models and schemas that support the storage, processing, and retrieval of data.

1. Data Integration:

• Implement robust ETL (Extract, Transform, Load) processes to integrate data from various sources into a unified and consistent format.
• Ensure seamless data flow between different systems, databases, and applications.

1. Data Quality:

• Implement data validation and cleansing processes to ensure the accuracy and reliability of data.

1. Emerging Technologies:

• Stay abreast of emerging technologies and trends in the field of data engineering.

1. Database Management:

• Manage and optimize database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).

1. Performance Optimization:

• Identify and address performance bottlenecks in data processing and storage systems.
• Optimize queries, indexing strategies, and data partitioning for improved performance.

1. Scalability and Reliability:

• Ensure that data systems are scalable to handle growing volumes of data.
• Implement redundancy and fault-tolerance measures to enhance data system reliability.

Skills Required:

• Experience with SQL (Preferably Amazon Redshift SQL)
• Experience with cloud-based data platforms (e.g., AWS)
• Develop, optimize, and maintain ETL processes for data integration.
• Familiarity with real-time data processing technologies.
• Understanding of data modeling concepts and techniques.
• Design and implement efficient and scalable data models in the cloud.
• Establish data quality monitoring and validation processes
• Proficient in writing complex SQL queries.
• Familiarity with version control systems like Git for managing codebase changes

Qualifications Required:

• Bachelor’s degree (B.A.) from four-year college or university, or equivalent combination of education and experience.
• 7+ years of experience in data engineering or a related role
• Proficient in data modeling, ETL development, and database management.
• Experience with big data technologies and distributed computing frameworks

About symplr:

As a leader in healthcare operations solutions, we empower healthcare organizations to navigate the complexities of integrating critical business operations. Our customers are at the heart of everything we do, and they rely on our mission-critical systems to drive better operations and better outcomes.

We are a remote-first company with employees working across the United States, India, and the Netherlands. Guided by values, we focus on teamwork, championing our customers, being rooted in action and outcomes, overcoming challenges, and leading through equality and integrity. Read more about symplr's culture and values at symplr.com/careers.