Data Engineer, UDW

Position Summary

Technical professionals are defined by what they create. Samsung has the risk taking corporate culture, strategic R&D investments and global know-how to imagine, develop and market products that lead the industry. Samsung Ads group located in Mountain View, CA is currently recruiting world-class engineers who share our "Innovation through passion" philosophy and thrive in a well-paced, results-driven environment. Samsung Ads team is responsible for delivering market leading Advertising products and services delivering billions of ad impressions to hundreds of millions of devices.

Role and Responsibilities

Responsibilities

• Design and develop scalable data stores and frameworks with sub-second query latency on highly multi-dimensional data.
• Engineering solutions to aggregate and automate large scale data flows from varying sources
• Build real time streaming pipelines that deliver data with measurable quality under the SLA
• Ability to effectively communicate ideas to peers and distributed teams
• Delivering products with top notch quality in a fast-paced environment
• Contributing towards building a system with a test-driven development / agile approach
• Collaborate with other team members in breaking down tasks and implementation of the initiatives all the way to release.

Skills and Qualifications

Requirements:

• Bachelor's degree in Computer Science/Engineering with 10+ years of experience or Master's degree with 8+ years directly related experience.
• Experience with large-scale distributed systems as pertains to data storage and computing
• Experience building data lakes and data warehouses on AWS
• Extensive experience with Amazon AWS technologies S3, EMR, Redshift or similar cloud offerings.
• Strong development skills in Java, Scala and/or PySpark
• Experience with caching technologies using Redis, Memcached.
• Knowledge of various databases / database technologies - Oracle, Postgres, Cassandra (NoSQL), Vertica or other columnar databases.
• Works on complex issues where analyzing situations or data requires an in-depth evaluation of variables.
• Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results
• Champion best practices for high availability, scalability and reliability of data processing components
• Advanced disciplinary knowledge in data technologies like Airflow, Spark, Python, Sql, Java, AWS and strong CS Fundamentals
• Exposure to statistical data structures such as HyperLogLog, MinHash etc
• Demonstrated strength in data modeling, ETL development, and data warehousing
• Highly proficient in Object Oriented Design and Development.

Not-Required but Preferred:

Experience working in the Advertising domain a big plus

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