Software Engineer 2

  • Full-time

Company Description

Epsilon is the leader in outcome-based marketing. We enable marketing that’s built on proof, not promises. Through Epsilon PeopleCloud, the marketing platform for personalizing consumer journeys with performance transparency, Epsilon helps marketers anticipate, activate and prove measurable business outcomes. Powered by CORE ID®, the most accurate and stable identity management platform representing 200+ million people, Epsilon’s award-winning data and technology is rooted in privacy by design and underpinned by powerful AI. With more than 50 years of experience in personalization and performance working with the world’s top brands, agencies and publishers, Epsilon is a trusted partner leading CRM, digital media, loyalty and email programs. Positioned at the core of Publicis Groupe, Epsilon is a global company with over 8,000 employees in over 40 offices around the world. For more information, visit epsilon.com. Follow us on Twitter at @EpsilonMktg.

Job Description

About BU

At the heart of everything we do is data and this team. Our premium data assets empower the team to drive desirable outcomes for leading brands across industries. Armed with high volumes of transactional data, digital expertise and unmatched data quality, the team plays a key role in improving all our product offerings. Our data artisans are keen on embracing the latest in technology and trends, so there’s always room to grow and something new to learn here.

Why we are looking for you

We are looking for a Data Warehouse Engineer (Level 2) with strong database fundamentals and excellent execution skills to work with Conversant Engineering Data Warehousing teams which deals in data of petabyte scale.

What you will enjoy in this role

This role will help to under and define solutions for given product and engineering initiatives, and drive solutions to delivery by effectively engaging with team members across the globe. The person in this role will be working closely with key stakeholders throughout the organization, so he or she must be able to communicate and keep them informed on overall health on projects impacting Conversant Data Warehouse platforms. He should also be able to mentor juniors in the teams.

What you will do

  • Analyze, Design and code solutions on and off database for ensuring application access to enable data driven decision making for the company’s multi-faceted ad serving operations.
  • Working closely with Engineering resources across the globe to ensure enterprise data warehouse solutions and assets are actionable, accessible and evolving in lockstep with the needs of the ever-changing business model.
  • Ideal candidate is expected to have strong database fundamentals and ETL knowledge, should be able to carry out the requirement analysis, design solution for easy to medium complexity problem independently and others under guidance of Lead/Senior Engineers, carry out code development, ensure quality, and should be able to do cross team communication, and application maintenance.

Qualifications

  • Bachelor’s Degree in Computer Science or equivalent degree is required.
  • 3 - 6 years of development experience around database marketing technologies and data management, and technical understanding in these areas.
  • Strong experience in Basic and Advanced SQL writing and basic tuning knowledge.
  • Experience with Python.
  • Good understanding of Disaster Recovery and Business Continuity solutions.
  • Experience with scheduling applications with complex interdependencies, preferably Airflow.
  • Good experience in working with geographically and culturally diverse teams.
  • Familiarity with complex data lake/data warehouse environments that span OLTP, MPP and Hadoop platforms.
  • Excellent written and verbal communication skills.
  • Excellent analytical and problem-solving skills.
  • Ability to diagnose and troubleshoot problems in timely manner.
  • SQL, Datawarehouse, Python, ETL Development, Greenplum or other MPP, ETL Frameworks
  • Nice to have: Spark/HDFS/Hive/Hadoop
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