When you’re one of us, you get to run with the best. For decades, we’ve been helping marketers from the world’s top brands personalize experiences for millions of people with our cutting-edge technology, solutions and services. Epsilon’s best-in-class identity gives brands a clear, privacy-safe view of their customers, which they can use across our suite of digital media, messaging and loyalty solutions. We process 400+ billion consumer actions each day and hold many patents of proprietary technology, including real-time modeling languages and consumer privacy advancements. Thanks to the work of every employee, Epsilon India is now Great Place to Work-Certified™. Epsilon has also been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world. For more information, visit epsilon.com/apac or our LinkedIn page.

About BU

The Product team forms the crux of our powerful platforms and connects millions of customers to the product magic. This team of innovative thinkers develop and build products that help Epsilon be a market differentiator.  They map the future and set new standards for our products, empowered with industry best practices, ML and AI capabilities. The team passionately delivers intelligent end-to-end solutions and plays a key role in Epsilon’s success story.

Why are we looking for you?

• Previous experience as a data engineer or in a similar role.
• Technical expertise with data models, data mining, and segmentation techniques.
• Hands-on experience with AWS and/or Azure.
• Knowledge of programming languages Python or Java.
• Hands-on experience with SQL/ Postgres database design.
• Hands-on experience with git or bitbucket or any version control tool.
• Hands-on experience with any CICD tools Like Jenkins or GoCD.
• Hands-on experience with Shell scripting.
• Great numerical and analytical skills.

What will you enjoy in this role?

• Interacting with the Data Engineers for supporting/maintaining/designing code for analytics product.
• Automation of deployment, customization, upgrades and monitoring through open-source toolsets.
• Performance tuning, monitoring, maintaining fault tolerant/HA infrastructure.
• Disaster recovery design, implementation, and maintenance.

What will you do?

• Analyze and organize raw data.
• Build data systems and pipelines.
• Evaluate business needs and objectives.
• Interpret trends and patterns.
• Conduct complex data analysis and report on results.
• Prepare data for prescriptive and predictive modelling.
• Combine raw information from different sources.
• Explore ways to enhance data quality and reliability.\
• Identify opportunities for data acquisition.\
• Develop analytical tools and programs.\
• Collaborate with data scientists and architects on several projects.

• A bachelor’s degree in computer science or a related field or have equivalent experience. Preferred B.E/ B.Tech/ M.Tech/ MCA
• Proven experience (5-8 years) in Java development, with expertise in Python, Java, RESTful APIs.
• Strong experience with AWS cloud services, including but not limited to EC2, S3, Lambda, RDS, DynamoDB, CloudFormation, and IAM.
• Proficiency in database design and management, including experience with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Redis).
• Solid understanding of software design principles, design patterns, and architecture best practices.
• Experience with using tools like GitHub/Bitbucket and knowledge of SCM concepts.
• Design, develop, test, & deploy robust & scalable Java-based web applications, services, & APIs.
• Familiarity with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC).
• Knowledge of serverless computing and event-driven architectures.
• Experience working in an Agile environment.
• AWS certifications (such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer) would be a strong plus.
• Strong communication skills, both verbal and written, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders.

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.