Lead Software Engineer

Overview 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.

A Bit About Who We Are Looking For 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 set a higher standard by constantly challenging themselves and are experts in building customized solutions in the digital marketing space.

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.

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.

Responsibilities What you’ll do: We seek Software Engineers with experience building and scaling services in on-premises and cloud environments.

As a Lead Engineer in the Epsilon Attribution/Forecasting Product Development team, you will play a key role in implementing and optimizing advanced data processing solutions using Scala, Spark, and Hadoop. You will collaborate with multi-functional teams to deploy scalable big data solutions on our on-premises and cloud infrastructure. Your responsibilities will include building, scheduling, and maintaining complex workflows, as well as performing data integration and transformation tasks. You will troubleshoot issues, document processes, and communicate technical concepts clearly to both technical and non-technical stakeholders. Additionally, you will focus on continuously enhancing our attribution and forecasting engines, ensuring they effectively meet evolving business needs.

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 What you’ll need:

• Over 8 years of strong experience in Scala programming and extensive use of Apache Spark for developing and maintaining scalable big data solutions on both on-premises and cloud environments, particularly AWS and GCP.
• Proficient in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency.
• Skilled in implementing scalable, fault-tolerant data pipelines with comprehensive monitoring and alerting.
• Hands-on experience with Python for developing infrastructure modules.
• Deep understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce.
• Proficient in writing efficient SQL queries for handling large volumes of data in various database systems.
• Experienced in building, scheduling, and maintaining DAG workflows.
• Familiar with data warehousing concepts and technologies.
• Capable of taking end-to-end ownership in defining, developing, and documenting software objectives and requirements in collaboration with stakeholders.
• Experienced with GIT or equivalent source control systems.
• Proficient in developing and implementing unit test cases to ensure code quality and reliability and experienced in utilizing integration testing frameworks to validate system interactions.
• Effective collaborator with stakeholders and teams to understand requirements and develop solutions.
• Ability to work within tight deadlines, prioritize tasks effectively, and perform under pressure.
• Experience in mentoring junior staff.

Advantageous To Have Experience On Below

• Hands-on with Databricks for unified data analytics, including Databricks Notebooks, Delta Lake, and Catalogues.
• Proficiency in using the ELK (Elasticsea…