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Aws Databricks Engineer

People Prime WorldwideBengaluru, Karnataka, India

23 hours ago

Job description

Job Title : AWS Data engineer

Location : PAN India (Hybrid)

Experience : 5–12 Years (STRICTLY)

Employment Type : Permanent

Notice Period : Immediate Joiners / ≤ 30 Days Only

CTC :

[5–8 yrs] – Up to 21 LPA
[8–12 yrs] – Up to 26 LPA

About the Company

Our client is a global leader in digital transformation and IT services across 50+ countries. They specialize in cloud modernization, data engineering, consulting, managed services, and enterprise-grade digital solutions. Their focus is on enabling businesses to scale efficiently and move confidently into a data-driven future.

Job Description

Design, develop, and maintain scalable data pipelines using AWS Databricks and PySpark

Implement ETL processes to ingest, transform, and load large datasets

Collaborate with data architects and business stakeholders to understand requirements and deliver robust solutions

Optimize data workflows for performance, scalability, and reliability in AWS cloud environments

Ensure adherence to data quality, governance, and security best practices

Monitor, debug, and troubleshoot data pipeline issues to ensure operational stability

Stay updated with the latest trends in data engineering, cloud platforms, and automation

Provide technical guidance and mentorship to junior engineers

Participate in Agile ceremonies and contribute to continuous improvement initiatives

Mandatory Skills

Strong hands-on experience with AWS Databricks and PySpark

Practical experience building data pipelines and ETL workflows

Strong proficiency in SQL (must-have)

Experience working with large datasets and distributed processing

Understanding of cloud architectures and DevOps best practices

Familiarity with Git, CI / CD, and Agile delivery models

Important Note (Please Read Before Applying)

Do NOT apply if :

You have less than 5 years or more than 12 years of total experience

You do NOT have real-time experience in AWS Databricks + PySpark

You do not have strong SQL skills

Your notice period is more than 30 days

You are looking for remote-only (role involves hybrid work mode)

You are from unrelated backgrounds (testing-support only, non-data engineering roles, etc.)

Apply ONLY if you meet ALL the above criteria. Irrelevant applications will not be processed.

Seniority Level

Mid-Senior level

Industry

IT Services and IT Consulting

Employment Type

Full-time

Job Functions

Information Technology

Skills

SQL

Amazon Web Services (AWS)

Extract, Transform, Load (ETL)

Engineering

Git

Data Engineering

Cloud Computing

Software Development

HTML

Test Automation

Screening questions

Required qualifications

How many total years of hands-on experience do you have in Data Engineering? (Must be between 5–12 years)

Ideal Answer : Yes

Do you have real-time project experience with AWS Databricks and PySpark? Yes / No

Ideal Answer : Yes

Are you confident with writing complex SQL queries and working with large datasets? Yes / No

Ideal Answer : Yes

Have you independently developed or contributed to data pipelines using Databricks + AWS? Yes / No

Ideal Answer : Yes

Are you comfortable working in a Hybrid model across PAN India locations? Yes / No

Ideal Answer : Yes

What is your current notice period? (Only Immediate / ≤ 30 days acceptable)

Ideal Answer : Yes

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Aws Engineer • Bengaluru, Karnataka, India

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