Senior Software Engineer Data Platform (Remote)

What You Will Do:

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  Develop and Maintain: Backend engineering to develop and maintain microservices serving as access points to Getty Images’ data and AI platform.
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  Build Scalable Solutions: Create scalable software solutions to enhance data processing and analytics capabilities.
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  Cross-Functional Collaboration: Form strong cross-functional relationships with engineering, data science, and product teams to deliver high-quality solutions.
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  Focus on Reliability and Security: Ensure the reliability, resiliency, and security of data services.
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  Ownership and Quality: Take ownership of changes and ensure high code quality from concept to production.
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  Automate Processes: Lead efforts to automate manual processes and build efficient data pipelines.

What We Are Looking For:

• Minimum 5 years of experience in data engineering.
• Proficient in Python and Spark.
• Proficient in database management and administration, particularly with MySQL.
• Extensive experience with AWS cloud engineering, including MWAA (Managed Airflow), MSK (Managed Kafka), Hive/EMR.
• Expertise in Databricks, especially in migrating from EMR to Databricks.
• Strong knowledge of Snowflake warehousing and data modeling.
• Proficient in DevOps using infrastructure as code services like Terraform.
• Experience with monitoring tools such as Grafana, Prometheus, and Splunk.
• Strong ability to get things done and lead with empathy.
• Proven track record of building and leading software engineering teams.
• Tenacity and the ability to balance competing priorities.
• Orientation towards long-term impact while balancing short-term goals.
• Exceptional written and verbal communication skills.
• Curiosity and pragmatism in problem-solving.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in building and operating complex distributed systems at scale.
• Empathy for users and their business goals, and a commitment to inclusion and diversity within teams.

Nice to Have:

• Containers and container schedulers (e.g., Docker, ECS).
• Search algorithms and their practical applications.
• CI/CD and Gitlab.
• Knowledge or experience with LLMs, vector search, or NLP.