Software Engineer II (Data)

Responsibilities:

• Contribute to the delivery of complex solutions, breaking down big problems into smaller pieces.
• Actively participate in team planning activities.
• Help ensure the quality and integrity of the SDLC for their team and identify opportunities for improvement in how the team works through usage of recommended tools and practices.
• Able to triage complex issues independently.
• Aware of the technology landscape, help to plan delivery of coarse-grained business needs spanning multiple applications.
• Set a consistent example of agile development practices and coach other engineers to work as a team with product and experience design.
• Help new hires and junior engineers to improve their skills and be more effective.
• Contribute to and improve internal libraries and tools.
• Understand the business supported by your applications.
• Proactively communicate status and issues to their manager.
• Identify problems and risks of their own work and the work of others.
• Collaborate with other teams to find creative solutions to customer issues.
• Show a commitment to delivery deadlines, in particular seasonal and vendor partner deadlines that are critical to continued success.

Requirements:

• 4+ years of relevant professional experience with a bachelor's degree OR equivalent.
• 1+ years of hands-on designing data lakes and reviewing code to comply with design.
• 1+ years of experience in tuning data models for performance and data quality.
• 1+ years of hands-on knowledge of multiple programming languages.
• 1+ years of experience with cloud computing services (e. g., AWS, Google Cloud).
• 1+ years of practitioner-level knowledge of large-scale data warehouse and BI tools migration to Google Cloud data lake.

Preferred:

• Experience working in an omni-channel retail environment.
• Passion for staying up-to-date with the latest technologies and industry trends.
• Proactive in learning new skills and sharing knowledge with the team.
• Ability to balance technical considerations with business requirements.

Skills

BI, business intelligence, data, data lake, data warehouse