TTEC - Data Engineering Consultant - Azure Databricks

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

- 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.

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 :

- 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#, Node.js , Java.

- Certified Kubernetes Application Developer.

- Google Cloud Certified Apigee API Engineer.