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- Job Description
- You will be leading engineering and software delivery projects focused on cloud and data transformation areas, working closely with internal stakeholders, clients, and external vendors.
- The Engineering Lead (EL) will report to the Solution Architect, Director in the VMS team. The EL will lead a team of software engineers and QA analysts from vendors, managing the technical delivery and quality of work.
- You will also handle estimation, timelines, and other commitments required to deliver initiatives.
- You will work alongside experienced engineers to improve data engineering quality, including:
- Providing technical guidance and mentorship to team members.
- Collaborating with QA engineers on automated testing scenarios.
- Job Duties
- Lead development activities aligning with project goals and timelines.
- Manage development-related inputs to management.
- Oversee multiple stakeholders across technology areas.
- Review test cases for comprehensive coverage.
- Raise risks related to code quality and delivery delays.
- Understand defects in code, data, and environment issues.
- Mentor and guide team members technically.
- Conduct technical and functional code reviews to maintain quality standards.
- This is a hybrid position; in-office days will be confirmed by your Hiring Manager.
- Qualifications
- Bachelor's degree in Computer Science or related field, or relevant commercial experience.
- 8+ years of experience, with at least 2 years as a tech lead or engineering manager.
- Experience with agile methodologies.
- Hands-on experience with PySpark or equivalent.
- Software release management and deployment experience.
- Knowledge of J2EE, REST, API frameworks.
- Experience designing event-based and streaming solutions with Kafka is valued.
- Strong SQL skills.
- Experience in a DevOps environment or willingness to learn.
- Proven ability to deliver scalable, fault-tolerant solutions.
- Experience reviewing peer code.
- Preferred Qualifications
- Expertise in Spark, especially Py-Spark.
- Experience with Microsoft Azure cloud platforms and services.
- Knowledge of data warehousing, Data Vault 2.0 methodology.
- Experience with CI/CD pipelines and DevOps practices.
- Certifications such as DP-203, Databricks Certified, or equivalent.
- Desire to become a subject matter expert and grow others.
- Interest in continuous improvement and big-picture understanding.
- Ability to work with external providers and senior stakeholders.
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