Senior Data Engineer
8 hours ago
Job Summary:
We are seeking an experienced Data Engineer to join our team in building, enhancing,
and maintaining scalable data solutions. This role offers an opportunity to work with
cutting-edge data processing technologies and contribute significantly to backend
development projects.
Key Responsibilities:
• Architect and develop well-designed, testable, efficient, and secure code.
• Analyze complex problems and devise innovative solutions, adapting existing
approaches to resolve diverse challenges with limited information.
• Exercise evaluation, judgment, and interpretation to independently select
appropriate courses of action, with work reviewed at key milestones.
• Engage in the entire software development lifecycle, including CI/CD processes.
• Mentor and support new and junior team members.
• Creatively assess and resolve a wide range of issues, suggesting alternative
approaches as needed.
• Work closely with data consumption stakeholders and display strong analytical
knowledge to define data models that are both efficient and cost e>ective
Work Culture Highlights:
• Sharing Culture: Teams showcase their work during our monthly Platform R&D
Demos, fostering department-wide collaboration.
• Annual Hackathon: Participate in a four-day, department-wide Hackathon,
teaming up across all R&D teams to innovate and develop new ideas—some of
which make it into our products.
Minimum Qualifications:
• Bachelor’s or advanced degree in Computer Science, Software Engineering, or a
related field.
• A minimum of 5 years of full-time work experience as a software developer.
• Proficiency in technologies like Apache Spark, Databricks, Kafka, SQL,
Terraform.
• Strong programming experience in Python, Golang, Java, Scala, or another
advanced object-oriented language.
• Hands-on experience with creating robust ETL pipelines.
• In-depth knowledge of data structures and algorithms.
• Skills in writing unit tests, data quality checks, and automated data testing
frameworks.
• Proven backend development experience, including work on scalable, high-
availability services.
• Excellent communication and interpersonal skills, with a track record of effective
collaboration across cross-functional teams.
Additional Skills:
• Experience with AWS technologies.
• Practical experience with Kubernetes for orchestration and containerization.
• Proficiency in designing, implementing, and optimizing data models for data
warehouses, databases, and data lakes.
• Familiarity with data warehousing concepts and platforms like Databricks,
Iceberg, Snowflake, Amazon Redshift, or Google BigQuery.
• Experience with Schema Registries and Data Catalogs e.g. AWS Glue, Unity
Catalogue
• Experience with real-time processing systems like Apache Kafka Streams and
Kinesis.
• Experience with monitoring tools like Prometheus, Grafana, or cloud-native
monitoring solutions and skills in optimizing performance for large-scale data
processing.
Additional Qualities We Value:
• Demonstrated leadership experience in projects, even if not reflected by a formal
title.
• A diverse knowledge base that facilitates solving complex technical challenges.
• Comprehensive understanding of software development practices, including
expertise in writing and debugging code.
• Willingness to engage in our robust onboarding and on-the-job training
programs.
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