Senior/Lead Data Software Engineer

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Written by AI from the job title and company, not by AgileEngine, so some details may not match this job. The employer's own page has the real description.

Position Overview

As a Senior/Lead Data Software Engineer at AgileEngine, you will play a pivotal role in designing, developing, and implementing data-driven software solutions that cater to client needs and enhance business processes. Your expertise will be crucial in leading a team of engineers, collaborating with cross-functional stakeholders, and pioneering innovative approaches to complex data challenges. The ideal candidate will demonstrate a profound understanding of data architecture, software design principles, and best practices in data management while ensuring high-quality deliverables and accelerating the team’s efficiency.

Job Responsibilities

• Lead the design, development, and implementation of scalable data software applications.
• Architect and maintain data pipelines, ensuring data integrity and security throughout the lifecycle.
• Guide and mentor junior engineers, fostering a culture of continuous learning and improvement.
• Collaborate with data scientists and analysts to translate business requirements into technical specifications.
• Evaluate and implement new data management technologies to optimize performance and efficiency.
• Conduct code reviews and ensure adherence to development best practices and standards.
• Maintain up-to-date documentation of systems and processes for team reference and onboarding purposes.
• Participate in client meetings to understand requirements and provide technical insights.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field; Master’s degree is a plus.
• 5+ years of experience in software development, with a focus on data engineering and management.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Strong knowledge of ETL (Extract, Transform, Load) processes and tools (e.g., Apache NiFi, Talend).
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of database technologies (SQL and NoSQL) and data modeling concepts.
• Excellent problem-solving skills and the ability to work under tight deadlines.

Technologies & Tools

In this role, you will engage with a variety of modern technologies and tools, including cloud platforms such as AWS or Azure, data processing frameworks like Apache Spark and Kafka, as well as visualization tools like Tableau or PowerBI. Familiarity with Agile methodologies and DevOps practices will enhance your contributions to the team, ensuring efficient workflows and timely project delivery.

Ideal Candidates

The ideal candidate will possess strong leadership skills, a passion for innovation, and a drive for continuous improvement. You will thrive in a fast-paced environment, demonstrating adaptability and an eagerness to embrace evolving challenges. A proactive mindset, coupled with excellent communication skills and the ability to collaborate effectively with diverse teams, will ensure your success in this critical position.