Vacancy expired!
Description:
We are looking for a Data Engineer that will help develop the Data Platform consisting of the data lake, analytics, enterprise data warehouse, and visualization tools. This person will have the ability to follow the teams technical direction by writing high quality code and following modern design principles.The Data Engineer builds data solutions in an agile and incremental manner and is an active participant in all team ceremonies. They have the ability to understand complex architecture and engineering designs and the skill to help implement them. The Data Engineer understands the business problem they are trying to solve and can appropriately apply technology to help solve it.Essential Functions:Follow the technical strategy and direction for the Data Platform environment, including tools, techniques, and processes.Help design and build technology solutions across multiple initiatives at the same time.Collaborate with others on the team to rapidly prototype and implement technical architectures to deliver insightful solutions.Understand the business analytics problems the company faces and help build solutions that solve them.Work on a high-performing team focused on results and relationships.Knowledge / Skills / Abilities: Experience writing software at a large enterprise.Experienced in modern data movement technologies (e.g. serverless, real-time, as needed computing, low latency data movement, high volume data management, etc).Experience working with devops processes to deliver code quickly with a high degree of confidence and quality.Experience in understanding and developing complex data models Strong personal skills to develop relationships with peers on their team.Business Influence - Experience in empathizing with users and adjusting the technical solution to solve their problems. Experience in working with data visualization tools (Microstrategy, PowerBI, Looker, Tableau, etc). Preferred languages include but not limited to Python, Terraform, and Java.Experience in technical design, development, and delivery of advanced analytics technical environments.Skills:Google Cloud Platform, Python, DAISS, ERPSS, attunity replicate, Data Engineer, Qlik, Postgresql, Mysql, PubsubTop Skills Details:1. High Level experience as a Data Engineer2. Google Cloud Platform preferred but AWS/Azure would be considered as well3. Modern data expertise 4. Python - Terraform or Airflow are nice to havesAdditional Skills & Qualifications:Nice to haves:Experience with one or many cloud computing providers (e.g. Google Cloud Platform, AWS, Azure).Preferred tool experience include but not limited to Apache Airflow, Kafka, Attunity, databases, queuing, Microstrategy.Knowledge of data governance, expectations and leading practices.Experience evaluating alternate solutions to a technical problem while considering the cost and benefit.About TEKsystems:We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.Vacancy expired!