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Software Engineer - Data Platform


Bangalore, India

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About the Job:

AT&T is building a brand new team to support the AT&T Xandr advertising & analytics business. Leveraging the spirit of innovation that began with Alexander Graham Bell more than 140 years ago and has continued on as a part of AT&T’s legacy, Xandr is uniquely positioned to move the advertising industry forward. The foundation of that will be world class technology, and we want you to be part of our journey by joining our new technical center of excellence.

This position is part of Xandr , Data Platform team. Xandr powers the real-time sale and purchase of digital advertising. We simplify the most sophisticated machine learning and data science capabilities to help our customers unlock their greatest potential. Our data platform team handles 12 billion transacted ad requests per day and 2-4 terabytes of data per hour. We are looking for a senior engineer to elevate our data ingestion and pipeline processing that emphasizes high performance & optimize map-reduce designs to support even faster, higher volume, delivery of actionable data for our stakeholders.

Roles and Responsibilities:

• Take ownership of core components of data ingestion & integration processing that intakes ~ 17 billon events per hour with data volume in excess of 2TB per hour.
• Need to be autonomous and self-driven to own a problem and design/built optimize, bullet proof solutions that scales, extensible and easily maintainable by others.
• Expert in distributed system design and Messaging systems.
• Understand best practices around software engineering and design patterns (weakness and strengths of those patterns) with experience successfully implementing/mixing and changing those patterns and best practices.
• Design and implement new features and enhancements to our data platform in an intelligent fashion that advances component architecture toward strategic data governance/management objectives
• Work with world class high frequency/low latency design experts to perform in-depth analysis and optimization of data pipeline components to ensure smooth execution within strict time and resource limitations
• Work closely with product stakeholders and users to understand data and reporting requirements
• Prioritize bug fixes to ensure critical up-time
• Serve as a mentor and guide for other team members

Key Competencies and Skills:

• Must be expert coder with some 3GL (java, C++ or C); with deep understanding on Java for distributed and low latency designs patterns.
• Experience with Big Data and distributed systems using technologies such as Cloudera, HBase, Hadoop, Spark, Python, PHP and Scala
• Handson experience in Mapreduce – PIG / HIVE.
• Deep understanding on SQL and other databases.
• Should have experience with ETL ( Ab initio ).
• Experience/Achievements in coping with large scale data deployments and/or high frequency/low latency projects
• Familiarity with Enterprise Data Management & Governance practices or Data Architecture methodologies are a plus.

Education and Qualifications:

BA/BS/MS degree and minimum 3-5 years of experience (Degree in Computer Science or related field preferred)

Additional Information:

More about you:

• You are passionate about a culture of learning and teaching. You love challenging yourself to constantly improve, and sharing your knowledge to empower others
• You like to take risks when looking for novel solutions to complex problems. If faced with roadblocks, you continue to reach higher to make greatness happen
• You care about solving big, systemic problems. You look beyond the surface to understand root causes so that you can build long-term solutions for the whole ecosystem
• You believe in not only serving customers, but also empowering them by providing knowledge and tools