Staff Software Engineer

Staff, Software Engineer

About Business Unit :

The Product team forms the crux of our powerful platforms and helps connect millions of customers worldwide with the brands that matter most to them. This team of innovative problem solvers develops and builds products that position Epsilon as a differentiator, encouraging an open and balanced marketplace built on respect for individuals, where every brand interaction holds value. Our full-cycle product engineering and data teams chart the future and set new benchmarks for our products, by using industry standard methodologies and sophisticated capabilities in data, machine learning, and artificial intelligence. Driven by a passion for delivering smart end-to-end solutions, this team plays a key role in Epsilon’s success story.

Why we are Looking for You?

At Epsilon, we run on our people’s ideas. It’s how we solve problems and exceed expectations. Our team is now growing, and we are on the lookout for skilled individuals who always raise the bar by constantly challenging themselves and are experts in building customized solutions in the digital marketing space.

What you will enjoy in this Role?

So, are you someone who wants to work with pioneering technology and enable marketers to create data-driven, omnichannel consumer experiences through data platforms? Then you could be exactly who we are looking for.

Apply today and be part of a creative, innovative, and talented team that’s not afraid to push boundaries or take risks.

Responsibilities

What will you do :

As a Staff, Software Engineer in the Epsilon Product Development team, you will design, implement, and optimize data processing solutions using Google workflows, Scala, Spark, and Hadoop. Collaborate with multi-functional teams to deploy big data solutions on our on-premises and cloud infrastructure along with building, scheduling and maintaining workflows. Perform data integration and transformation, troubleshoot issues, Document processes, communicate technical concepts clearly, and continuously enhance our attribution engine / forecasting engine.

Strong written and verbal communication skills (in English) are required to facilitate work across multiple countries and time zones. Good understanding of Agile Methodologies – SCRUM.

Qualifications

• Strong experience (12+ years) in Python / Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on Google BigQuery or AWS EMR .
• Solid grasp of database systems and SQLs for writing efficient SQL’s (RDBMS / Warehouse) to handle TBS of data.
• Using Python to develop infrastructure modules. Hence, hands-on experience with Python.
• Hands-on experience with Java or Go programming language. Understanding of distributed systems and microservices architecture.
• Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments.
• In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce.
• Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting.
• Familiarity with design patterns and standards for efficient data modelling, partitioning strategies, and sharding for distributed systems and experience in building, scheduling and maintaining DAG workflows.
• End-to-end ownership with definition, development, and documentation of software’s objectives, business requirements, deliverables, and specifications in collaboration with stakeholders.
• Experience in working on GIT (or equivalent source control) and solid understanding of Unit and integration test frameworks.
• Must have the ability to collaborate with stakeholders / teams to understand requirements and develop a working solution and the ability to work within tight deadlines and effectively prioritize and complete tasks in a high-pressure environment.
• Must be able to mentor junior staff.

Advantageous to have experience on below :

Additional Information

Epsilon is a global data, technology and services company that powers the marketing and advertising ecosystem. For decades, we’ve provided marketers from the world’s leading brands the data, technology and services they need to engage consumers with 1 View, 1 Vision and 1 Voice. 1 View of their universe of potential buyers. 1 Vision for engaging each individual. And 1 Voice to harmonize engagement across paid, owned and earned channels.

Epsilon’s comprehensive portfolio of capabilities across our suite of digital media, messaging and loyalty solutions bridge the divide between marketing and advertising technology. We process 400+ billion consumer actions every single day using advanced AI and hold / many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Tvhanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Epsilon is a global company with more than 9,000 employees around the world.

Epsilon has a core set of 5 values that define our culture and guide us to bring value for our clients, our people and consumers. We are seeking candidates that align with our values, demonstrate them and make them meaningful in their day-to-day work :

Because You Matter

YOUniverse. A work-world with you at the heart of it!

At Epsilon, we believe people make the place. And everything we do is designed with you in mind. That’s why our work-world, aptly named ‘YOUniverse’ is passionate about crafting a nurturing environment that elevates your growth, wellbeing and work-life harmony. So, come be part of a people-centric workspace where care for you is at the core of all we do.

Take a trip to YOUniverse and explore our outstanding benefits, here

Epsilon is an Equal Opportunity Employer.

Epsilon is committed to promoting diversity, inclusion, and equal employment opportunities by using reasonable efforts to attract, recruit, engage and retain qualified individuals of all ethnicities and backgrounds, including, but not limited to, women, people of color, LGBTQ individuals, people with disabilities and any other underrepresented groups, traits or characteristics.