Data Engineer – AWS (Data Observability)

RadCube; Bengaluru; On-site; INR 1,800,000 - 2,500,000; Full time

Job summary

RADcube is seeking a data observability engineer in Bengaluru to implement monitoring across enterprise data pipelines ensuring reliability and data trust. You will build data quality checks and monitor freshness, volume, and schema changes across systems.

Work involves setting up observability tooling such as Monte Carlo, Great Expectations, CloudWatch and Datadog, performing incident triage and root cause analysis, and maintaining SLAs and runbooks.

Qualifications

• Must have 4+ years in data engineering, data observability, or related field.
• Experience with AWS data services and data quality tooling.
• Strong SQL and Python programming skills.
• Familiarity with monitoring, alerts, and incident response for data pipelines.

Responsibilities

• Implement monitoring and observability across enterprise data pipelines to ensure reliability and data trust.
• Build data quality checks, freshness/volume/schema monitoring and alerting.
• Set up observability tooling (e.g., Monte Carlo, Great Expectations, CloudWatch, Datadog).
• Perform incident triage and root cause analysis; maintain SLAs and runbooks.

Skills

AWS

Python

SQL

Data quality frameworks

Tools

Monte Carlo

Great Expectations

CloudWatch

Datadog

Job description

Bangalore South, India | Posted on 10/30/2026

Founded in 2015, RADcube is a leading technology consulting and software development firm headquartered in Carmel, Indiana. The company specializes in transforming enterprise ideas into real-world innovations by leveraging emerging technologies such as Artificial Intelligence, Blockchain, and Cloud Computing.

With nearly a decade of industry experience, RADcube serves diverse sectors, including healthcare, finance, government, and manufacturing.

Their core service portfolio includes:

Digital Transformation and strategy consulting.

Custom Software Development tailored to specific business needs.

Advanced Data Analytics and AI-driven platforms.

Cybersecurity and risk management.

Recognized for its innovation-led culture, RADcube operates RADlabs, an R&D hub focused on high-impact solutions like Responsible AI and Intelligent Automation. The firm is committed to a human-centric approach, ensuring cutting-edge technology delivers measurable business outcomes and long-term success for global clients.

The company’s commitment to innovation has earned significant industry honors:

2026 TechPoint Mira Awards Finalist: Named a finalist for Tech Company of the Year, recognizing high-growth pioneers that demonstrate extraordinary leadership.

Public Sector Excellence: Awarded the Utah NASPO Cloud & Software Solutions Contract, solidifying their role as a trusted partner for large-scale government digital initiatives and more.

Job Description

Implement monitoring and observability across enterprise data pipelines to ensure reliability and data trust.

• Build data quality checks, freshness/volume/schema monitoring and alerting
• Set up observability tooling (e.g., Monte Carlo, Great Expectations, CloudWatch, Datadog)
• Perform incident triage and root cause analysis; maintain SLAs and runbooks

Requirements

• Must have: 4+ yrs, AWS (Glue, S3, Lambda, Redshift, CloudWatch), Python, SQL, data quality frameworks