Cloud Data Engineer/ Architect

Description:

Job Description: The Cloud Data Engineer/ Architect will be a key contributor to designing, evolving, and optimizing our company’s cloud-based data architecture. This role requires a strong background in data engineering, hands-on experience building Cloud Data solutions, and a talent for communicating complex designs through clear diagrams and documentation. Core Responsibilities Cloud Data Architecture Design & Strategy: Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes. Drive the selection and integration of Cloud Data services (e.g., storage, databases, analytics tools). Develop comprehensive Cloud Data strategies in alignment with business goals. Diagramming & Documentation: Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing. Maintain detailed documentation of data architecture, design decisions, and processes. Hands-on Implementation & Optimization: Actively contribute to the hands-on implementation of Cloud Data solutions. Proactively identify and implement performance optimization strategies for Cloud Data systems. Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility. Required Qualifications Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks) Proven track record of successfully designing and implementing cloud-based data solutions in Azure Deep understanding of data modeling concepts and techniques. Strong proficiency with database systems (relational and non-relational). Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software.

Skills:

Distributed Data Engineering, PySpark, Python, Hadoop, Databricks, Scala

Top Skills Details:

Distributed Data Engineering,PySpark,Python,Hadoop,Databricks,Scala

Additional Skills & Qualifications:

Preferred Qualifications Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake). Expertise in big data technologies (e.g., Hadoop, Spark). Strong understanding of data security and governance principles. Experience in scripting languages (Python, SQL). Additional Skills Communication: Exemplary written and verbal communication skills to collaborate effectively with all teams and stakeholders. Problem-solving: Outstanding analytical and problem-solving skills for complex data challenges. Teamwork & Leadership: Ability to work effectively in cross-functional teams and demonstrate potential for technical leadership.

Experience Level:

Intermediate Level

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.