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Salary
≈ $31k – $61k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 4+ years exp

First seen by Alion on Sep 11, 2026.

Overview
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Profile match
Uberlife Consulting is an Indian recruiting and executive search firm that places technology and leadership talent with employers. Its open mandates include enterprise data architects, Golang technical leads, engineering managers, heads of information technology and country sales managers. The firm is based in Bengaluru, India.

Job Description :

We are looking for an experienced Data Engineer to help shape the future of the Automotive Industry. Are you motivated by solving tough problems, business-focused and have a passion for coding complex solutions?


The successful candidate will be a self-starter, comfortable with ambiguity, have an affinity for building from scratch, demonstrate strong attention to detail, and have the ability to work in a fast-paced, complex and ever-changing environment. You'll be able to bring your unique skills and expertise to shape the direction of our Data Platform team.

Core Responsibilities :

- Be part of developing scalable, reliable and highly available production level data platforms and data pipelines to meet various business needs.

- Design high-level and low-level software solutions for new requirements.

- Code independently and with team members following software industry standard best practices.

- Collaborate with data analysts and product managers to understand data requirements.

- Mentor junior developers, conduct code reviews and manage deployments.

- Work closely with QA to deliver products end-to-end.

Basic Qualifications :

- B.E/MTech in Computer Science.

- 4+ years of experience in software development.

- Experience in building scalable products, preferably with Big Data.

- Good coding skills in Python and experience in Spark.

- Experience in data warehouses or relational databases is mandatory.

- Experience in Kafka and stream/batch processing applications like Storm or Kstreams.

Preferred Qualifications :

- Experience in AWS cloud.

- Ability to work collaboratively across multiple products and application teams.

Skills

Data Engineering, Python, Spark, Big Data, Data Pipeline, Kafka, RDBMS, Data Warehousing, AWS

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