Senior Data Engineer - Hux
New York City, NY, USA | Deloitte Consulting
Functions:IT / Information Technology
Consulting - IT
Job Description:102 people have viewed this job
In today’s world, customers expect companies to know who they are and what they want. Customers want to have products, services or experiences that best suit their needs delivered to them seamlessly across physical and digital channels.
Customers are human first: driven by dynamic wants, needs, and desires.The ability for brands to make personal, meaningful connections on a human level has never been greater and Hux by Deloitte Digital delivers on those experiences in a way that allows companies to own the customer journey end to end.We help companies connect key data sources to understand what matters most to people; connect to advanced technologies like AI and machine learning to sense and respond to those needs at scale; and connect their systems to unlock insights, create collaboration and drive acquisition, engagement and loyalty.Most importantly, we empower companies to connect with customers in personal, meaningful ways that respect them as people, not just customers.
Hux by Deloitte Digital gives companies the ability to build and leverage the connections – between people, systems, data and technologies – so they can deliver personalized, contextual experiences to customers at scale.
Work you’ll do
As a Senior Data Engineer-Hux, you’ll design, implement and maintain a full suite of real-time and batch jobs that fuels our cutting-edge AI to provide real-time marketing intelligence to our existing clients.
You’ll develop, test and deliver production-grade code to help our clients solve their most critical marketing challenges using cutting-edge big-data tools.You’ll also ensure data integrity, resolve production issues, and assist in the support and maintenance of our overall platform.
As you grow your capabilities and learn how to build a platform that can ingest, load and process billions of data points, you’ll enjoy new challenges and opportunities to showcase your development skills by joining project teams to build innovative new-client platforms and execute high-value strategic development projects with high visibility.
Your responsibilities will include:
Design, construct, install, test and maintain highly scalable data pipelines with state-of-the-art monitoring and logging practices.
Bring together large, complex and sparse data sets to meet functional and non-functional business requirements.
Design and implement data tools for analytics and data scientist team members to help them in building, optimizing and tuning our product.
Integrate new data management technologies and software engineering tools into existing structures.
Help in building high-performance algorithms, prototypes, predictive models and proof of concepts.
Use a variety of languages, tools and frameworks to marry data and systems together.
Recommend ways to improve data reliability, efficiency and quality.
Collaborate with Data Scientists, DevOps and Project Managers on meeting project goals.
Tackle challenges and solve complex problems on a daily basis.
Advertising, Marketing & Commerce
Our Advertising, Marketing & Commerce team focuses on delivering marketing and growth objectives aligned with our clients’ brand values for measurable business growth. We do this by creating content, communications, and experiences that engage and inspire their customers to act.We implement and operate the technology platforms that enable personalized content, commerce and marketing user-centric experiences. In doing so, we transform our clients’ marketing and engagement operations into modern, data-driven, creatively focused organizations. Our team brings deep experience in creative and digital marketing capabilities, many from our Digital Studios.
We serve our clients through the following types of work:
•Cross-channel customer engagement strategy, design and development
•(web, mobile, social, physical)
•eCommerce strategy, implementation and operations
•Marketing Content and digital asset management solutions
•Marketing Technology and Advertising Technology solutions
•Marketing analytics implementation and operations
•Advertising campaign ideation, development and execution
•Acquisition and engagement campaign ideation, development and execution
•Agile based, design-thinking, user-centric, empirical projects that accelerate results
8+ years of experience in software development, a substantial part of which was gained in a high-throughput, decision-automation related environment.
4+ years of experience in working with big data using technologies like Spark, Kafka, Flink, Hadoop, and NoSQL datastores.
3+ years of experience on distributed, high-throughput and low-latency architecture.
1+ years of experience deploying or managing data pipelines for supporting data-science-driven decisioning at scale.
A successful track-record of manipulating, processing and extracting value from large disconnected datasets.
Producing high-quality code in Python.
Passionate about testing, and with extensive experience in Agile teams using SCRUM; you consider automated build-and-test to be the norm.
Proven ability to communicate in both verbal and writing in a high performance, collaborative environment.
Follows data development best practices, and enjoy helping others learn to do the same.
An independent thinker who considers the operating context of what he/she is developing.
Believes that the best data pipelines run unattended for weeks and months on end.
Familiar with version control, you believe that code reviews help to catch bugs, improves code base and spread knowledge.
Ability to travel 5-10% of the time
Helpful, but not required:
Experience with large consumer data sets used in performance marketing is a major advantage.
Familiarity with machine learning libraries is a plus.
Well-versed in (or contributes to) data-centric open source projects.
Reads Hacker News, blogs, or stays on top of emerging tools in some other way
Industry-specific marketing data
Technologies of Interest:
Languages/Libraries – Python, Java, Scala, Spark, Kafka, Hadoop, HDFS, Parquet.
Cloud – AWS, Azure, Google
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