Aspire Recruitment Drive; Hiring Data Engineer Intern – Apply Now

At Aspire, they pride themselves on building an amazing team. Aspire require a Data Engineering Intern to join their very talented lineup. As a Data Engineering Intern, you will be involved in helping develop scalable processes & grow the company operations. The right person takes initiative, likes to learn & deals with integrity. This is a great opportunity for someone wanting to work to make a difference to your community with talented & motivated team members in a diverse, energetic workplace; and a company dedicated to your success, growth and advancement.

Name of the Organization: Aspire

Requisition ID: 5319109004

Positions: Data Engineer Intern

Location: PAN India 

Salary: As per company Norms

Required Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field.
• Basic proficiency in Python, object-oriented programming, and SQL with a solid understanding of relational databases.
• Strong analytical and problem-solving skills
• Working proficiency in verbal and written English

Preferred Qualifications:

• Experience with data extraction, ingestion, transformation, and good coding practices, including clean code, error handling, logging, and testing.
• Proven ability to work independently and collaboratively, with minimal supervision.
• Active participation in extracurricular technical activities such as content writing, hackathons, or open-source projects is a strong plus.
• Enthusiastic about teamwork, continuous learning, and contributing effectively to team outcomes.

Responsibilities:

• Support the team in managing and optimizing data infrastructure on AWS, including the design, development, and maintenance of data pipelines using Python.
• Assist in integrating various data sources with tools like Airbyte and managing workflows using Apache Airflow.
• Collaborate with data analysts and stakeholders to ensure data quality, reliability, and trustworthiness.
• Participate in code reviews, troubleshooting, and resolving data pipeline issues, contributing to coding standards and best practices.
• Document data engineering processes, workflows, and perform manual and automated data quality checks.
• Actively contribute to the observability, testability, and optimization of data pipelines.
• Engage in cross-departmental projects to deliver data solutions aligned with business and technical requirements.
• Participate in team meetings, including weekly updates, brainstorming sessions, and daily stand-up.

Benefits:

• Uncapped flexible annual leave.
• Hybrid work arrangement.
• Training subsidy for your professional growth.
• Wellness benefit.
• Team bonding budget to foster collaboration and sense of belonging.
• Flexibility to work from anywhere (for up to 90 days per annum).
• Culture is Key: They always strive to cultivate a special culture that brings special talents together

 

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