Data Engineer

Job Overview

You will be part of a growing Data Engineering team that handles our clients data for Internal and External Users. This opportunity has openings for both Mid-level and Senior Data Engineers. The IT department services over 10 internal groups and the Data Engineer will be a seasoned Technology leader comfortable with a variety of data technologies. Data Engineering Group handles a Datawarehouse that sources data out of over 15 sources and services over 10 internal groups. The current data technology stack consists primarily of Datawarehouses using SQL Technologies, Neo4J based Graph DBs along with the use of a variety of NoSQL and AIML frameworks and languages like R, Python etc.. The ideal candidate will be a technologist who is able to balance the rapid pace of technology change with an authoritative ability to handle client relationships – including working closely with the business and technical teamsvendors. Assists in the ongoing support of applications. We’re looking for someone who is laser-focused on operational excellence and customer satisfaction. You’ll need to wear many hats, so flexibility and a can-do attitude are critical! We are looking for a dynamic, collaborative personality that can champion the cause of Agile within the organization. The individual needs to have a consistent track record of successfully delivering value for their organization in a fast-paced environment along with successful management of customer expectations. A passionate engineer who strives for automation would be ideal for this position. This position reports into the Group Leader, Data Engineer, IT Major Responsibility Understands Agile artifacts and develops applications based upon business priority. Handles relationships with end user communities. Interacts regularly with users to gather feedback, listen to their issues and concerns, recommend solutions. Demonstrate your technical abilities and contribute to our overall architecture Help define and implement the Enterprise Data Architecture for our client and help implement it in multi-functional alignment with the Data teams that exist across functions like Marketing, Finance, HR etc. Provide leadership during application design and development for highly complex or critical machine learning projects across numerous lines of business and shared technology. Evaluate readiness of new bigfast data capabilities to be used to support critical operational processes Build, Maintain and Demonstrate partnership with 3rd parties like Stanford Labs or Google Labs to be at the cutting edge of Data and ML technologies and foster data driven decision-making at our client. Ensure alignment to enterprise architecture and usage of enterprise platforms when delivering projects Required SkillsKnowledge Master’s Degree in Computer Science, Engineering, or Management of Info SystemsTechnology preferred Advanced Education in Statistics or Mathematics would be a plus 5+ years of experience in developing BigData andor machine learning solutions 5+ years of experience in a highly regulated industry Experience with the full AWS stack Experience with SQL, NoSQL, BigData and Graph Technologies along with Programming languages like R, Python, Kafka, Storm etc. is a plus Experience building microservices Ad-Tech and Martech experience is a plus Background in agile SW development and Scaled Agile Frameworks Experience managing internal and external teams at the same time, working with multiple brands and digital properties of varying maturities Demonstrated ability to partner and communicate effectively with non-technical team members, resolving contending or contradictory objectives, and unifying disparate ideas into a homogenized solution Ability to be versatile and handle multiple projects and re-prioritizations Possess the ability to influence others, implement change, and standardize processes in a complex business environment A passion for mentoring and growing the potential of others Ability to effectively and appropriately interview technical candidate dice