Senior Data Engineer

July 23

Apply Now

Receive Emails with Similar Jobs

H1

WebsiteLinkedInAll Job Openings

H1 is the connecting force for global HCP, clinical, scientific and research information.

healthcare • provider data • healthcare professional information • diversity data • medical affairs

201 - 500

Description

• Understand end-user needs and ensure that your work directly contributes to delivering impactful solutions. • Work autonomously on projects, demonstrating the ability to unblock yourself and drive tasks to completion with minimal guidance. • Maintain a big-picture perspective and coordinate work that spans multiple teams, ensuring alignment with overall organizational objectives. • Identify and communicate project-level risks early, working proactively to mitigate issues and ensure successful project delivery. • Lead the “Understand” phase of projects, producing comprehensive documentation and aligning with relevant stakeholders on technical requirements and project scope. • Decompose OKRs into actionable tasks and collaborate with junior engineers to ensure they have a clear understanding of their work. • Partner with PMs and technical leads to prioritize initiatives that maximize end-user impact and organizational benefit. • Uphold high standards for clean code, thorough code reviews, and robust technical designs. Drive the adoption of best practices and continuous improvement within the engineering team. • Provide guidance and mentorship to junior engineers, focusing on enhancing their technical skills and maintaining a high engineering bar.

Requirements

• 7+ years in data engineering with a track record of building and maintaining scalable data systems and pipelines. • 4+ years working with big data tools such as Apache Spark, Hadoop, particularly on AWS EMR, with practical hands-on experience in tools like Apache Spark, and Hudi/Delta Lake. • Proficiency in data processing technologies including Spark Streaming, Kafka Streams, and SQL-based data manipulation. • Hands-on experience with AWS cloud services and data solutions, including data warehousing and ETL tools.