Responsibilities

• Design, build, and maintain cloud-based data pipelines and analytics solutions.
• Work with large-scale datasets to derive insights and support decision-making.
• Collaborate with data scientists, engineers, and analysts on real-world projects.
• Ensure cloud data security, compliance, and data quality standards.
• Monitor and optimize analytics infrastructure and BI dashboards.

Requirements

• Basic knowledge of cloud services (AWS Redshift, Azure Synapse, BigQuery, etc.).
• Experience or coursework using SQL and scripting (Python, Bash).
• Understanding of data pipelines, ETL/ELT, and warehousing concepts.
• Strong analytical mindset and logical problem-solving skills.
• Academic or internship exposure to data analytics or big data tools.
• Familiarity with BI tools like Power BI, Tableau, or Looker.
• Good communication and collaboration skills.
• Passion for cloud computing, big data, and real-time analytics.

Perks & Benefits

• Hands-on experience with enterprise cloud platforms (AWS, GCP, Azure).
• Mentorship from senior data & cloud engineers.
• Access to real-time datasets and production-level tools.
• Support for industry certifications like AWS Certified Data Analytics or Google Cloud Data Engineer.