What you'll do:

• Build the underneath data platform and maintain data processing pipelines using best in class technologies. Special focus on R&D to challenge status-quo and build the next generation big data platform that is efficient and cost effective.
• Translate complex technical and functional requirements into detailed designs.
• Collaborate with Data Scientists and Product Managers to bring AI-based Assistive experiences to life. Create the roadmap and socialize among team members and stake holders. 
• Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.
• Handle project scope and risks with data, analytics, and creative problem-solving.
• Help define data governance policies and implement security and privacy guard rails.

What makes you a great fit:

• Hands-on engineer with extensive experience ingesting, storing, processing, and analysing large datasets
• Understanding of data-warehousing and data-modelling techniques
• Experience working (deploying and operationalising) with DNN frameworks like TensorFlow or PyTorch on large-scale data sets will be a great plus. 
• Proficient in some of the following tools and technologies:
• Languages: Python, Java/Scala, SQL
• Dev-ops pipelines
• Container orchestration: Docker, Kubernetes
• Hadoop ecosystem: Hadoop, Spark, Hive etc.
• Stream processing: Storm, Flink etc.
• Workflow: Airflow, Flyte, etc.
• Data Engineering ecosystem: DeltaLake, DataHub etc.
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets
• A total of 10+ years of experience in technical roles involving Big Data Engineering, implementation of Machine Learning models.
• Deep knowledge of Big Data Architectures, Platforms, Frameworks.
• Experience with Real Time Bidding / Ad Tech background preferred.
• Comfort with ambiguity, adaptability to dynamic environment, and the ability to lead a team while working autonomously.
• Demonstrated ability to influence technical and non-technical stakeholders. 
• Track record of delivering cloud-scale, data-intensive applications and services that are widely adopted with large customer bases. 
• An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road. 
• A relentless pursuit of great customer experiences and continuous improvements to the product.