Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future.

As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results.

Join our team and create your future.

As an entry level Cloud Platform Engineer – Analyst, you will be part of a collaborative data engineering team focused on designing and building scalable, cloud-based data solutions. You’ll work alongside experienced engineers and analysts to support data ingestion, transformation, and processing pipelines.
This role is ideal for individuals with a strong foundation in programming and a passion for data engineering. You will gain hands-on experience working with modern data tools, cloud platforms, and real-world datasets that support critical business decisions.
This position offers an opportunity to collaborate with cross-functional teams located in India, the US, and Canada.

Requirements

• 1+ years of experience in data engineering, analytics, or a related field.

• Proficient in Python and SQL for data manipulation and querying.

• Exposure to cloud platforms such as AWS, Azure, or GCP.

• Familiar with data tools like S3, Redshift, RDS, Glue, or similar.

• Understanding of structured and semi-structured data handling.

• Strong analytical and problem-solving mindset with a learning attitude.

• Good communication skills and ability to work collaboratively in Agile teams.

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Preferences:

• Internship, academic projects, or coursework related to data pipelines or cloud data services.

• Familiarity with distributed data processing (e.g., PySpark) and data concepts like data lakes, warehouses, or mesh.

• Exposure to version control (e.g., Git) and CI/CD fundamentals.

• Awareness of Agile methodologies and team-based development workflows.

• Understanding of containerized environments and cloud infrastructure tools.

• Basic documentation skills for data processes and configurations.

• Cloud certifications (AWS, Azure, GCP) or completion of relevant online courses are a plus.