Sr AWS Data Engineer/AWS Data Architect

Indore, India
Full Time
Experienced

Passionate about AWS and Data? Ccube wants you on the team!

We are looking for a highly skilled Senior AWS Data Engineer / Data Architect to join our growing data and cloud team in Indore. The ideal candidate will be responsible for designing enterprise-scale data architectures, building robust data pipelines, and implementing scalable cloud-native data platforms on AWS.
This role requires a blend of strategic architecture expertise and hands-on engineering capabilities to transform complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization.

Experience Required

  • 5+ years of overall experience in Data Engineering.
  • 2+ years of hands-on experience in AWS Data Architecture and Cloud Data Platforms.
  • Proven experience designing and implementing enterprise-scale data solutions. 

Data Architecture:- Design secure, scalable, and future-proof enterprise data lakes, data warehouses, and analytics platforms on AWS.

Pipeline Engineering:- Build and maintain automated, real-time, and batch ETL/ELT data pipelines using distributed processing frameworks.

Data Modeling:-Create conceptual, logical, and physical data models to support reporting, advanced analytics, and machine learning initiatives.

Cloud Optimization:- Monitor, troubleshoot, and optimize AWS resources for maximum performance and cost efficiency (FinOps).

Governance & Security:- Implement data governance, metadata management, masking, and encryption standards in compliance with industry regulations.

Leadership & Collaboration:- Mentor junior data engineers and collaborate closely with Data Scientists, Product Managers, and DevOps teams to align data solutions with business goals.

Must-Have Technical Skills

AWS Core Services

  • Amazon S3
  • Amazon Redshift
  • AWS Glue
  • Amazon EMR
  • Amazon Kinesis
  • AWS IAM

Programming Languages

  • Advanced proficiency in:
    • Python
    • Scala
    • Java

Data Processing

  • Expertise in distributed computing frameworks such as:
    • Apache Spark
    • Hadoop
    • Flink

Database Technologies:- Deep knowledge of both relational (SQL) and NoSQL databases (e.g., Amazon DynamoDB).

Data Governance

  • AWS Lake Formation

Infrastructure as Code (IaC)

  • Experience with:
    • Terraform
    • AWS CloudFormation

DataOps / CI/CD

  • Version control using Git.
  • Deployment automation using tools such as:
    • Jenkins
    • GitHub Actions
    • AWS CodePipeline

Preferred Qualifications

Certifications

Active AWS Certified Data Engineer.
  • AWS Certified Solutions Architect.

Modern Data Stack

Familiarity with:
  • Databricks
  • Snowflake
Why Join Ccube?

At Ccube, we strive to create a supportive and growth-oriented work environment. Our employee value proposition includes:

  • Dynamic Work Culture

  • Career Growth

  • Learning & Development

  • Compensation & Rewards

 

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