Data Axle Off Campus 2026 – Hiring Associate Data Engineer

Data Axle Off Campus 2026 is inviting applications for the role of Associate Data Engineer for freshers and early-career professionals. Candidates with a graduate degree in computer science, mathematics, IT or related fields are eligible to apply for this drive.

Job Description :

Role – Associate Data Engineer

Location: Pune

Experience: Freshers/Early Careers

Salary : Best in Industry

Job Description

We are looking for a Associate Data Engineer who will design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.

Roles & Responsibilities:

1. Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power.
2. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies.
3. Create and support real-time data pipelines built on AWS technologies including Glue, Redshift/Spectrum, Kinesis, EMR and Athena.
4. Continually research the latest Big Data and visualization technologies to provide new capabilities and increase efficiency.
5. Work closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.
6. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning.
7. Help continually improve ongoing reporting and analysis processes, automating or simplifying customer self-service support.

Qualifications

Qualifications:

1. Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
2. Strong foundation in data modelling, ETL development, and data warehousing. Familiarity with Spark and AWS big data technologies (e.g., Redshift, S3, EMR, Spark).
3. Ability to manipulate, process, and extract value from large datasets, with a passion for data-driven decision-making.
4. Enthusiasm for researching and implementing the latest technologies in Big Data and visualisation.
5. Knowledge of data management fundamentals and data storage principles.
6. Strong team player with excellent communication skills, capable of working closely with other tech teams to achieve shared goals.
7. Knowledge of AWS big data technologies (Redshift, S3, EMR, Spark).
8. Willingness to continually learn and adapt in a fast-paced environment, with a focus on software engineering best practices.
9. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
10. This position description is intended to describe the duties most frequently performed by an individual in this position. It is not intended to be a complete list of assigned duties but to describe a position level.

The interested and eligible grads register for the same position on following link.

Apply Link : Click Here

 

 

Why Data Axle Off Campus Drive 2026?

Data Axle Off Campus Drive 2026 represents an excellent opportunity for freshers and early-career data professionals to join a leading company in the data intelligence and analytics space. The company offers:

– Comprehensive training in data engineering and ETL tools
– Mentorship from experienced professionals
– Exposure to large-scale data processing and analytics
– Competitive compensation packages
– Growth opportunities in a fast-paced tech environment
– Work with modern cloud technologies and big data platforms

About Data Axle

Data Axle is a global leader in data intelligence and analytics solutions. The company provides critical business data and analytics tools to thousands of organizations worldwide, helping them make better decisions.

Career Growth After Data Axle Off Campus Drive 2026

Successful candidates joining through the Data Axle Off Campus Drive 2026 will have excellent opportunities for career advancement. The company promotes from within and provides continuous learning and development programs. Many freshers who started in entry-level roles have progressed to senior data engineering and analytics positions within the organization.