Cloud Engineer 2 (3–5 Years Experience)

Talpro; Bengaluru Urban; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Talpro, Bangalore South / Bengaluru, is seeking a Cloud Engineer with 3–5 years of experience to join a hybrid, full-time team. You will design and manage cloud data pipelines on AWS, write Spark jobs, and optimize Oracle queries while ensuring secure, scalable workloads. Immediate notice period and a permanent role with Talpro.

Qualifications

• 3–5 years of experience in data engineering or data pipelines.
• Hands-on with AWS EMR, Spark, Python, and Oracle query tuning.
• Familiarity with CI/CD pipelines and version control (Git).
• Exposure to big data ecosystems beyond Spark (e.g., Hive, Presto, or Redshift).
• Understanding of data security practices on AWS.

Responsibilities

• Design and manage cloud-based data processing solutions using AWS EMR, S3, and IAM.
• Write and debug basic Spark jobs for data transformation and analysis.
• Develop and maintain Python scripts for data processing with functional constructs.
• Optimize Oracle queries for large data volumes using best practices and hints.
• Collaborate with cross-functional teams to ensure secure, scalable data workflows.
• Monitor and troubleshoot performance issues in data pipelines.

Skills

AWS EMR

S3

IAM

KMS

Spark

Python

Oracle

Data pipelines

CI/CD

Git

Hive/Presto/Redshift

AWS Security

Tools

Git

CI/CD

Job description

TALPRO INDIA PRIVATE LIMITED | Full time

Bangalore South, India

About Us

Talpro is leading the way in transforming the talent acquisition landscape. We deliver innovative, sustainable, and cost-effective recruitment solutions tailored to today’s business needs. Our mission is to offer comprehensive hiring strategies that address immediate recruitment demands while laying the groundwork for long-term success.

Job Description

• Location: Bangalore / Chennai


• Work Mode: Hybrid


• Role Type: Permanent (Talpro)


• Notice Period: Immediate


• Mandatory Skills:
  
  
  
  • AWS Services: EMR, S3, IAM, KMS
  
  
  • Spark: Basic understanding and hands-on experience
  
  
  • Python: Core concepts, functions, lambda expressions, map/filter/reduce, flatMap, list/array handling, groupBy, aggregate, reduceByKey
  
  
  • Oracle: Basic query tuning and performance optimization (e.g., using hints for large datasets)
  
  
  
  


• Secondary or Good to Have Skills:
  
  
  
  • Experience working in a data engineering or data pipeline environment
  
  
  • Familiarity with CI/CD pipelines and version control (Git)
  
  
  • Exposure to big data ecosystems beyond Spark (e.g., Hive, Presto, or Redshift)
  
  
  • Understanding of data security practices on AWS
  
  
  
  


• Years of Experience: 3 to 5 Years


• Job Summary: We are looking for a Cloud Engineer with 3–5 years of experience to join our team and support cloud-based data processing environments. The ideal candidate will have strong exposure to AWS services (especially EMR), basic knowledge of Spark and Python programming, and a working understanding of Oracle query optimization. You will be responsible for developing, managing, and optimizing data workflows on AWS cloud infrastructure.


• Key Responsibilities:
  
  
  
  • Design and manage cloud-based data processing solutions using AWS EMR, S3, and IAM.
  
  
  • Write and debug basic Spark jobs for data transformation and analysis.
  
  
  • Develop and maintain Python scripts for data processing using functional programming constructs (map, filter, reduce, etc.).
  
  
  • Optimize Oracle queries for large data volumes using best practices and hints.
  
  
  • Collaborate with cross-functional teams to ensure secure, scalable, and efficient data workflows.
  
  
  • Monitor and troubleshoot performance issues in data processing pipelines.
  
  
  
  


• Soft Skills:
  
  
  
  • Strong problem-solving skills and attention to detail
  
  
  • Effective communication and collaboration skills
  
  
  • Willingness to learn and adapt in a fast-paced environment