Data Axle
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Data Axle Off Campus 2026 – Hiring Associate Data Engineer

Data Axle

Pune
4.5 LPA
Fulltime
Onsite
2025 Batch

About This Role

Data Axle is seeking a highly skilled Associate Data Engineer to design, implement, and support an analytical data infrastructure. The ideal candidate will have a strong foundation in data modeling, ETL development, and data warehousing.

The Associate Data Engineer will be responsible for providing ad-hoc access to large datasets and computing power, and will work closely with other technology teams to extract, transform, and load data from a wide variety of data sources.

The successful candidate will have a passion for data-driven decision-making and a strong enthusiasm for researching and implementing the latest technologies in Big Data and visualization.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field
  • Strong foundation in data modeling, ETL development, and data warehousing
  • Familiarity with Spark and AWS big data technologies (e.g., Redshift, S3, EMR, Spark)
  • Ability to manipulate, process, and extract value from large datasets
  • Knowledge of data management fundamentals and data storage principles
  • Strong team player with excellent communication skills
  • Knowledge of software engineering best practices across the development lifecycle

Responsibilities

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

About Data Axle

Data Axle is a leading provider of data and analytics solutions, helping businesses make informed decisions and drive growth.

Disclaimer: This job has been aggregated from public sources to help students discover opportunities. We do not represent Data Axle. Any solicitation calls or payment requests are not from us.

Posted 3 weeks ago