Senior Data Engineer IRC263440

Description

Client’s team consists of 100+ engineers, designers, data, and product people, working in small inter-disciplinary teams closely with creative agencies, media agencies, and with their customers, to develop and scale their platform, a leading digital advertising optimization suite that delivers amazing outcomes for brands and audiences.

We have an exciting opportunity for an experienced and passionate Senior Data Engineer/Backend Engineer to join our growing technology team within the WPP division, focusing on building technology products for world’s leading media agencies. The successful candidate will work alongside developers and other members of the scrum teams.

About the division:

We like to say that we play with giants. That’s huge data sets, influential partners, and even bigger ambitions. But only because we’re here to make a difference. As WPP’s division, our mission is to create products that make advertising work better for people. With expertise in data science, audience insights, simulations, and automation, our 350-person strong team designs and builds software products that shape the global media ecosystem. With a partnership philosophy at the heart of everything we do, we team up with the world’s leading media and technology organizations — including Adobe, Amazon, Baidu, The Trade Desk, Google — to develop innovative solutions and bring a unique competitive advantage to our portfolio of clients.

WPP and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the more great work we can create together.

 

Requirements

• Proven experience designing, building, and operating data-oriented solutions in a high volume, transactional, global, industry. Experience with advertising technology (AdTech) highly desired.
• Data engineer with hand-on experience in GCP to conduct end to end data analysis and data pipeline build out in using Python,Apache Airflow , etc
• Strong analytical skills and advanced SQL knowledge (PostgreSQL, MySQL), including indexing and query optimization techniques
• Expertise in GCP cloud platforms and data warehouses like BigQuery.
• Strong practical experience with Apache Spark/PySpark.
• Experience working with diverse datasets and integrating new data sources into workflows.
• Proven experience and a passion for developing and operating data-oriented solutions using Python, Airflow/Composer, Kafka, Snowflake, BigQuery, and a mix of data platforms such as Spark, AWS Athena, Postgres and Redis. Excellent SQL development, query optimization and data pipeline development skills required.
• Strong experience using public cloud platforms including AWS and GCP is required; experience with docker and Kubernetes strongly preferred. Experience in the use of multiple programming languages is highly desirable. Experience using Functional programming is ideal.
• Proven experience in developing data structures and algorithms. Experience supporting ML/AI highly desirable.
• Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable.
• Proven experience in data engineering and testing practices and implementing these in teams, with a willingness to share, partner and coach engineers, product people, and operations through pragmatic and effective development and delivery practices.
• Proven experience shaping and evolving the principles, practices, and tooling supporting agile, testing/QA, DevSecOps, automation and SRE in a data-focussed team. Experience in Trunk Based Development, XP, & implementing CI/CD as used in data teams is highly desirable.
• A focus on continuous learning and improving, both technically and professionally, in your industry, for you and your teams.
• Demonstrated resilience, with experience working in ambiguous situations.
• Strong English, excellent influencing and communication skills, and excellent documentation skills.

Job responsibilities

• Work with product, product engineering, data engineering, and data science peers to build and support our AdTech platform.
• Architect and build data-oriented solutions that are simple, scalable, reliable, secure, maintainable, and make a measurable impact.
• Provide our teams with the data they need to build, sell, and manage our platform. Develop, deliver and maintain batch and real-time data pipelines, analysis services, workflows and orchestrations, and create and manage the platforms and data infrastructure that hold, secure, cleanse and validate, govern, and manage our data.
• Manage our data platform, incorporating services using Apache Airflow, BigQuery running on GCP.
• Support our Data Science teams with access to data, performing code reviews, aiding model evaluation and testing, deploying models, and supporting their execution.
• Employ modern pragmatic engineering principles, practices, and tooling, including TDD/BDD/ATDD, XP, QA Engineering, Trunk Based Development, Continuous Delivery, automation, DevSecOps, and Site Reliability Engineering.
• Contribute to driving ongoing improvements to our engineering principles, practices, and tooling. Provide support & mentorship to junior engineers.
• Develop and maintain a contemporary understanding of AdTech developments, industry standards, partner and competitor platform developments, and commercial models, from an engineering perspective.

#LI-ZK1 #LI-Remote

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.