Lead Data Pipeline Architect

Pay Rate : $11.00 / hr to $12.00 / hr

Location : 100% Remote working from India

Duration of contract : This is 4 to 4.5 months contract job

Working Hours : US working hours (Night Shift form india)

This team is looking to hire a motivated Sr. Data Engineer who will be working closely with team of highly motivated data engineers to build a state-of-the-art marketing data platform to solve various data-driven use cases across the organization. This marketing platform will host various data products such as but not limited to, Subscription, Content, and Product Analytics, Personalization and Recommendation, Marketing & Ad-Sales enablement. You will be working on flagship direct to consumer products such as MAX and Discovery Plus. You will be charged with building and maintaining various marketing focused data pipelines - handles both streaming and batch data processing. You will be helping data engineers, analysts, and scientists perform their functions by building highly scalable capabilities across the platform. This individual will bring in his / her expertise in a wide variety of big data processing frameworks (both open source and proprietary), large scale database systems (OLAP and OLTP), stream data processing, API Development, Machine learning operationalization, and cloud automation to build and support all the data needs.

The Daily

• Design and develop the data platform to efficiently and cost effectively address various data needs across the business.
• Build software across our entire cutting-edge data platform, including event driven and batch data processing, storage, and serving through various data integration techniques such as APIs, Lambda, File Feeds etc.
• Develop and maintain data integrations includes but not limited to direct digital marketing, social channels etc.
• Ingest, process massive campaign datasets to analyze the campaign performance.
• Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
• Think of new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action.
• Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous
• Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.
• Ensure data quality by implementing re-usable data quality frameworks.
• Work closely with various other data engineering teams to roll out new capabilities.
• Work closely with AI / ML team to operationalize and utilize models for business needs.
• Develop and enforce data engineering, security, data quality standards through automation.
• Participate in supporting the platform 24X7.
• Be passionate about growing team - hire and mentor engineers and analysts.
• Be responsible for cloud cost and improving efficiency.

The Essentials