Cornspring

Compensation

Full Description

Job Title: Senior Data Engineer Company Overview: Cornspring is a forward-thinking technology company specializing in data-driven solutions that empower businesses to make smarter decisions. With a commitment to innovation and excellence, Cornspring fosters a collaborative environment where cutting-edge technology meets real-world applications. Role Overview: As a Senior Data Engineer at Cornspring, you will play a pivotal role in designing, building, and maintaining scalable data pipelines and infrastructure. Your expertise will enable the company to harness complex data sets, ensuring high-quality data availability for analytics and business intelligence. What You'll Do: - You will design, develop, and optimize robust data pipelines to support large-scale data processing. - You will collaborate with data scientists, analysts, and engineers to understand data requirements and deliver solutions. - You will ensure data quality, integrity, and security across various data sources and platforms. - You will implement best practices for data management, including ETL processes and data warehousing. - You will monitor and troubleshoot data systems to maintain high availability and performance. - You will mentor junior engineers and contribute to team knowledge sharing. - You will stay current with emerging data technologies and recommend improvements. What You Bring: - You have 5+ years of experience in data engineering or related fields. - You possess strong proficiency in SQL and Python for data manipulation and automation. - You have hands-on experience with cloud platforms such as AWS, Azure, or GCP. - You are skilled in building and maintaining ETL pipelines and data warehouses. - You have a solid understanding of distributed systems and big data technologies like Hadoop or Spark. Bonus Points If You Have: - Experience with containerization tools such as Docker and orchestration platforms like Kubernetes. - Familiarity with real-time data processing frameworks such as Kafka or Flink. - Knowledge of machine learning pipelines and data science workflows. - Previous experience working in agile development environments. What We Offer: - We offer competitive salary and comprehensive health benefits. - We offer opportunities for professional growth and continuous learning. - We offer a flexible work environment with remote work options. - We offer a collaborative culture that values innovation and teamwork. - We offer access to the latest tools and technologies to support your work. Ready to Apply? If you are ready to take on this exciting challenge, please complete the application form by clicking the apply button. The form takes approximately 5 to 10 minutes to complete. We look forward to hearing from you!