Consultant - Data Engineering

Position Purpose
The position of Consultant is within TTEC Digital - Analytics team. Analytics group is responsible for Data Science and Engineering projects that include the design and validation of data models, build systems to collect, manage and convert transactional raw data to usable data structures to generate insights for decision making

Our Data Engineers work with Data Scientists, Project Leads, Managers on implementation, upgrade, and migration projects.

Key Responsibilities

• Analyzing raw data
• Developing and maintaining datasets
• Improving data quality and efficiency
• Create solution and design documentation
• Work on projects independently as well as being part of a large team
• Develop internal training, process and best practices
• Crosstrain Junior Data Engineers or other team members with your area of expertise
• Further develop skills both on the job and through formal learning channels
• Assist in pre-sales activities by providing accurate work estimate
• Interacts closely with Project Management to deliver projects that are done on time and on budget.

Competencies

• Personal: Strong interpersonal skills, high energy and enthusiasm, integrity, and honesty; flexible, results oriented, resourceful, problem-solving ability, deal effectively with difficult situations, ability to prioritize.
• Leadership: Ability to gain credibility, motivate and provide leadership; work with a diverse customer base; maintain a positive attitude. Provide support and guidance to more junior team members, particularly for challenging and sensitive assignments
• Operations: Ability to manage multiple projects and products. Perform task at hand in a customer friendly manner while utilizing time and resources efficiently and effectively. Utilize high level expertise to address more difficult situations, both from a technical and customer service perspective.
• Technical: Ability to understand and communicate technical concepts; proficient with Microsoft Project, Visio and Office products.

Technical Skills

• Python (pydata, pandas, numpy, pyspark)
• SQL (MS SQL, OracleDB, Terradata)
• Azure Data Factory
• Azure Data Bricks
• Big Data (Spark, pig, hive, scoop, kafka etc.)
• DevOps (using tools such as GITHUB Actions and Jenkins is preferred)
• Agile/Scrum
• Rest Services and API Management:
• Implementing API proxies through gateways using Apigee X and/or Apigee Edge
• API design, development, and testing including creating SWAGGER/Open API specs

Education, Experience And Certification

• Post-Secondary Degree (or Diploma) related to Computer Science, MIS or IT-related field. BA/BS in unrelated field will also be considered depending on experience
• 2-4 years in Data Engineering
• Exposure to application design and development experience in a cloud environment
• 2+ years of experience building and deploying containerized applications in a Kubernetes enabled environment
• 2+ years of experience coding REST services and APIs using one or more of the following: Python, C#, , Java
• Certified Kubernetes Application Developer
• Google Cloud Certified Apigee API Engineer

TTEC Digital and our 1,800+ employees, pioneer engagement and growth solutions that fuel the

exceptional customer experience (CX). Our sister company, TTEC Engage, is a 60,000+ employee service company, with customer service representatives located around the world. TTEC Holdings Inc. is the parent company for both Digital and Engage. When clients have a holistic need, they can draw from these independently managed centers of excellence, TTEC Digital and TTEC Engage.

TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.

Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.