Academic Professionals Transition Program to Data Engineer

Location: Pune

Experience Required: 5–10 years

Industry: IT Consulting & Services

Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Background : Teaching in Engineering College in relevant subjects

Role Overview

We are launching a unique opportunity designed specifically for professors, lecturers, and educators who are passionate about transitioning into the IT industry, particularly in the field of Data Engineering .

This is the structured transition pathway where you’ll receive hands-on training, mentoring, and real-world project experience to build a solid foundation in data engineering.

No prior IT industry experience is required — only a strong analytical mindset, willingness to learn, and teaching/academic experience .

Who Should Apply

This role is exclusively open to :

• •Professors, lecturers, researchers, or teaching professionals currently or recently employed at an educational institute.
• •Candidates with a strong interest in switching to the IT/Data field.
• •Individuals who are self-motivated , quick learners, and eager to apply their academic skills in a tech environment.

As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing our data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for our clients.

Key Responsibilities

• •Data Architecture and Pipeline Development:
• •Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively.
• •Data Integration:
• •Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality.
• •Data Governance and Security:
• •Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards (ISO 27001 or similar).
• •Collaboration with Teams:
• •Work closely with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements.
• •Optimization:
• •Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness.
• •Innovation and Mentorship:
• •Contribute to innovative projects and mentor junior team members. Leverage your academic expertise to foster a culture of continuous learning and development.

Required Skills and Qualifications

• •Technical Expertise:
• •Proficiency in programming languages such as Python, Java, or Scala.
• •Hands-on experience with big data technologies (e.g., Hadoop, Spark).
• •Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• •Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery.
• •Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure.
• •Data Engineering Fundamentals:
• •Expertise in ETL/ELT processes, data modeling, and data lake architectures.
• •Knowledge of data visualization tools like Tableau, Power BI, or Looker.
• •Educational/Academic Experience:
• •Experience teaching relevant technical subjects (e.g., data engineering, databases, distributed systems, or machine learning) in engineering colleges.
• •Proven ability to explain complex concepts to diverse audiences.
• •Soft Skills:
• •Excellent analytical and problem-solving skills.
• •Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams.
• •Demonstrated ability to balance technical depth with business understanding.

Preferred Qualifications

• •Certifications in cloud technologies (e.g., GCP Professional Data Engineer, AWS Certified Data Analytics).
• •Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch).
• •Contributions to research papers, technical blogs, or open-source projects.