Big Data Analyst

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Mahindra

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Hadoop Scala SQL Spark Java Databricks Apache PyTorch pySpark DAX Analytics TensorFlow

Job Description

Big Data Analyst - F2F Recruitment Drive | Bangalore

📍 Interview Location: Bangalore

đź“… Date: 11th April (Saturday)


Work Location: MSDVC Coimbatore.

Shortlisted candidates will be invited for a Face‑to‑Face Interview at the Bangalore location.


Role Overview:

We are seeking an experienced Big Data Analyst with strong expertise in PySpark and Databricks to design, build, and optimize large‑scale data processing solutions. The role focuses on transforming complex datasets into actionable insights, enabling advanced analytics and data‑driven decision‑making across business and engineering teams.


Key Responsibilities:

Design, develop, and optimize large‑scale data pipelines using PySpark on Databricks

Build and maintain scalable Big Data architectures for batch and near real‑time processing

Perform data modeling, transformation, and performance tuning on distributed systems

Develop interactive dashboards and reports using Power BI for business stakeholders

Collaborate with Data Scientists to support ML/AI workloads and model integration

Ensure data quality, governance, and compliance across analytics platforms

Work closely with cross‑functional teams (Engineering, Product, Business) to translate requirements into analytics solutions.


✅ Must‑Have Skills

Programming & Analytics

PySpark – Expert level (hands‑on experience with complex transformations and optimizations)

Strong understanding of Apache Spark internals and distributed computing concepts

Platforms & Tools

Databricks – Expert level (job orchestration, optimization, cluster management)

Power BI – Expert level (data modeling, DAX, performance optimization)

Big Data & Architecture

Strong knowledge of Big Data architecture, data lakes, and scalable analytics platforms

Experience working with structured and unstructured data at scale

Machine Learning (Exposure)

Working knowledge (Beginner level) of TensorFlow and PyTorch to support ML use cases.


➕ Good‑to‑Have Skills:

Java for backend or data processing use cases

Experience with Hadoop ecosystem

Strong proficiency in SQL and/or Scala

Prior exposure to Automotive domain or Connected Vehicle / Mobility data


🎓 Experience & Qualification:

5–10 years of experience in Big Data Analytics / Engineering roles

Bachelor’s or master’s degree in engineering, Computer Science, Data Science, or related fields.


đź“© How to Apply

Interested candidates, please DM your resume to:

đź“§ [email protected]

Subject: Application for Big Data Analyst - Coimbato


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