Intern Data Engineer

HEXAWARE

18h

About The Position

We are seeking a highly motivated and enthusiastic Data Engineering Intern at the graduate level to join our dynamic team. The successful candidate will have the opportunity to gain practical experience with advanced data engineering technologies, including Databricks, SQL, Snowflake (data warehousing, Snowpark exposure is a plus), Python, PySpark, and Microsoft Azure. In addition, interns in this role will gain exposure to AI technologies and their implementation within data engineering workflows. This internship is well-suited for individuals who are eager to expand their technical skill set, collaborate with experienced professionals, and actively contribute to the design and implementation of large-scale data solutions. At the Internship Level: - • Organizational Acumen: Develop a comprehensive understanding of the organization’s mission, values, and strategic objectives. Consistently align your contributions with the broader goals of the team and company. • Commitment to Learning: Exhibit a proactive and enthusiastic approach to learning throughout the internship. Actively participate in training sessions, seek out opportunities for professional development, and demonstrate continual growth in both technical and business knowledge. • Technical Proficiency: Acquire familiarity with the key technologies and tools utilized by the data engineering team, including but not limited to Databricks, SQL, PySpark, Snowflake (data warehousing, Snowpark exposure is a plus) and Azure DevOps. Strive to deepen your practical skills in these areas through hands-on project work. • Increasing Autonomy: Begin your internship by working under general supervision, with the expectation of progressively taking on greater responsibility and executing tasks with increased independence as your experience and confidence grow.

Requirements

• Organizational Acumen: Develop a comprehensive understanding of the organization’s mission, values, and strategic objectives. Consistently align your contributions with the broader goals of the team and company.
• Commitment to Learning: Exhibit a proactive and enthusiastic approach to learning throughout the internship. Actively participate in training sessions, seek out opportunities for professional development, and demonstrate continual growth in both technical and business knowledge.
• Technical Proficiency: Acquire familiarity with the key technologies and tools utilized by the data engineering team, including but not limited to Databricks, SQL, PySpark, Snowflake (data warehousing, Snowpark exposure is a plus) and Azure DevOps. Strive to deepen your practical skills in these areas through hands-on project work.
• Increasing Autonomy: Begin your internship by working under general supervision, with the expectation of progressively taking on greater responsibility and executing tasks with increased independence as your experience and confidence grow.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees