Senior Consultant - Data_Engineering

Job Description

Job Description Position Title Senior Consultant ? Data Analytics Practice Analytics and Insights Experience Position Purpose The position of Senior Analyst is within TTEC Digital Analytics and Insights Experience (AIX) team. AIX 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 Develop and implement data ingestion pipeline Develop and implement data validation process Developing and maintaining datasets Improving data quality and efficiency Analyzing raw data Create solutions and design documentation Work on projects independently as well as being part of a large team 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 (pandas, numpy, pyspark) SQL (MS SQL, OracleDB, Terradata) Google Cloud Platform CI/CD tools Google Vertex AI Big Data (Spark, pig, hive, scoop, kafka etc.) 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 5-8 years in Data Engineering 3+ years of 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#, Node.js, Java Google Cloud CertifiedProfessional Data Engineer Google Cloud Certified Cloud DevOps Engineer (Optional) Organizational Description At TTEC Digital everything we do, every day, helps our clients fuel exceptional experiences for their customers. Together, we help our clients develop strategic customer experience design, integrate powerful data, and orchestrate industry-leading technology. We embrace the unique, positive, and healthy cultures that our different teams bring, and our leadership prioritizes the promise of work/life balance, continuous education, and high-performance incentives. We have been and will remain a remote first employer, giving you the flexibility to take your career wherever life goes. 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.