Associate Data Engineer

R.L. Polk Private Limited; Bengaluru; In loco; INR 900.000 - 1.500.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Health and wellness benefits

Retirement savings

Descrizione del lavoro

Mobility Global in Bengaluru is seeking an Associate Data Engineer to provide hands-on engineering support for production data pipelines and data products. You will monitor pipelines, improve automation, and help move capabilities into reliable production under the guidance of senior engineers.

We value strong technical foundations, problem solving, and a willingness to learn systems, datasets and products.

Competenze

• 1-3 years of relevant experience in data engineering, software engineering or a data-intensive technical role.
• Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering or related quantitative discipline.
• Practical experience with Python and SQL. Familiarity with data ingestion, transformation and ETL/ELT concepts.

Mansioni

• Production and BAU support: monitor scheduled workflows, investigate failures, resolve incidents, and maintain runbooks.
• Data pipelines: build and maintain ingestion, transformation, and processing workflows; support automated, repeatable workflows.

Conoscenze

Python

SQL

Formazione

Bachelor's degree in Computer Science, Data Engineering, Software Engineering or related quantitative discipline

Descrizione del lavoro

Why Mobility Global?

At Mobility Global, our mission is to provide trusted information that helps billions of people build, sell, and own vehicles with confidence. As we shape the next generation of automotive intelligence through innovation, AI, and industry-leading data, we’re creating new opportunities for our customers, our business, and our people.

Role Summary

The Associate Data Engineer, BAU & Product Support provides hands‑on engineering support across Mobility data products and operational workflows. The role helps run, monitor and improve production data pipelines, quality controls and recurring production processes. It supports established and emerging data products, helping move new capabilities into reliable production while improving the automation, quality and resilience of existing data processes. This is an associate‑level role working under the direction of experienced Data Engineers. It requires strong technical foundations, attention to detail and a willingness to learn the systems, datasets and products supported by the team.

Key Responsibilities

• Production and BAU Support Support recurring production runs and BAU data processes. Monitor scheduled workflows and pipelines. Investigate data‑processing failures and operational issues. Support timely resolution of production incidents. Maintain clear operational documentation and runbooks.
• Data Pipelines Build and maintain data ingestion, transformation and processing workflows. Support restructuring and transformation across interconnected datasets. Make controlled improvements to existing pipelines. Help move manual processes into automated, repeatable workflows. Work with senior engineers on larger architecture or platform changes.
• Data Quality and Controls Develop and maintain automated data‑quality checks. Validate data at key stages of production pipelines. Investigate unexpected results and identify root causes. Work with analysts, researchers and operational teams to resolve issues. Improve visibility of recurring data‑quality problems.
• Product and Project Support Support live Mobility data products and emerging capabilities. Support the development and operation of data products that process large, interconnected automotive datasets. Help move new capabilities from development into reliable production operations. Assist with testing, deployment and operational readiness. Work with Product, Research, Data Science and Technology teams.
• Automation and Improvement Identify repetitive operational tasks suitable for automation. Develop scripts and lightweight tools to reduce manual effort. Use AI-assisted engineering tools responsibly to accelerate development, testing and documentation. Contribute to continuous improvement of engineering standards and working practices.

Required Qualifications

Essential 1-3 years of relevant experience in data engineering, software engineering or a related data‑intensive technical role. Strong graduates with substantial practical experience may also be considered. Degree or equivalent experience in Computer Science, Data Engineering, Software Engineering or a related quantitative discipline. Practical experience with Python and SQL. Understanding of data ingestion, transformation and ETL/ELT concepts. Familiarity with relational databases and structured datasets. Ability to investigate data and pipeline issues methodically. Understanding of software‑development fundamentals, including version control and testing. Clear written communication and documentation skills. Ability to work collaboratively while owning assigned work.

Highly Desirable Experience with cloud‑based data services or platforms. Experience supporting production pipelines or recurring data processes. Familiarity with APIs and system integrations. Exposure to orchestration, monitoring or automated‑testing tools. Experience with large or interconnected datasets. Familiarity with automotive, forecasting or market‑intelligence data. Exposure to machine‑learning or Data Science workflows.

Key Behaviours

• Reliable - Understands that BAU and production commitments must be protected.
• Curious - Investigates why failures happen rather than only rerunning a process.
• Quality focused - Values testing, controls and accurate outputs.
• Automation minded - Looks for repeatable improvements to manual work.
• Collaborative - Works well with engineers, analysts, researchers and product teams.
• Eager to learn - Develops technical and product knowledge quickly.

What’s In It for You

• Competitive compensation package, including base salary and incentive opportunities where applicable.
• Comprehensive health and wellness benefits for employees and eligible dependents.
• Retirement savings programs, including company matching contributions where available.

Equal Opportunity Employer

Mobility Global is proud to be an Equal Opportunity Employer. We value diverse perspectives and are committed to fostering an inclusive workplace where everyone is respected, supported, and empowered to succeed. We provide reasonable accommodations throughout the hiring process and employment for qualified individuals with disabilities.

Mobility delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.