Data Engineer 2

Company Description

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.

Job Description

The Auto practice within Epsilon accelerates and drives growth for major players of the automotive industry, from Original Equipment Manufacturers (OEM) to Dealers big and small in the US and Canada. Part of a 1,600-member global team, the practice offers the automotive world’s largest service reminder platform along with agency services and digital media solutions. A leader in the automotive space, the team supports over 50% dealers in the US and manages 280M+ customer vehicle relations. Our Auto team is home to innovative thoughts, latest in technology and is always at the front of learning new.

The Data Engineer-2 would support stakeholders by deploying end to end data management projects. Contribute towards building infrastructure, streamlining variety of data and integrate ML models. Demonstrates proactive thinking, passion, and cross team collaboration. Establish strong working relationship with stakeholders.

Role Responsibilities

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies.
• Develop solutions that will deliver high quality personalized recommendations across different channels to our customers.
• Develop end-to-end (Data/Dev/MLOps) pipelines based on in-depth understanding of Cloud Platforms, AI/ML lifecycle, and business problems to ensure solutions are delivered efficiently and sustainably.
• Work with Data science team to ensure seamless integration and support of machine learning models operation.
• Collaborate with team members and deliver projects on-time with full quality.
• Manage multiple projects concurrently to ensure successful completion of projects. 

Qualifications

• Bachelor’s Degree in an Engineering or equivalent qualification.
• 3-4 years of experience as Data Engineer deploying Data Management projects.
• 2+ years of experience in Python, PySpark, Micro Services, Docker, Serverless Framework
• 2+ years of experience in building ETL workflows or pipelines.
• 2+ years of experience in Relational and Non-relational databases (NoSQL is a plus).
• Good understanding of Data Modeling, Data Warehouse, Data Catalog Concepts.
• Good experience working in Cloud Technologies (AWS or Azure)
• Familiar with Data Lake Architecture and combining Structure and Unstructured data into unified representation.\
• Familiar with Airflow and ML Flow tools, and Automated Unit test frameworks.
• Familiar with Machine learning algorithms and implementation is a plus.
• Good written and spoken communication skills.
• Great team player and ability collaborate with larger team.

Additional Information

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.