Quality - Data observablity

Posted 2 Days Ago
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Bangalore, Bengaluru, Karnataka
Senior level
Information Technology • Software
The Role
As a Data Observability & Quality Engineer, you will ensure data reliability and integrity by developing monitoring systems, implementing automated quality checks, and establishing alerting frameworks. Collaborating with data engineering teams, you will uphold data quality standards across various platforms to facilitate data-driven decision-making within the organization.
Summary Generated by Built In

Data Observability and Quality Engineer

Experience Level:Senior

Position Overview: 

We are seeking a Data Observability & Quality Engineer to join our data team and help us maintain the highest standards of data reliability and integrity. This role will be responsible for ensuring that our data pipelines, systems, and datasets meet quality standards, are transparent, and are actively monitored for consistency and performance. You will work across the organization to set up proactive monitoring systems, define data quality frameworks, and identify opportunities to improve data quality throughout the data lifecycle. Your work will enable teams to make better decisions by ensuring they have access to reliable, high-quality data at all times.

Roles and Responsibilities:

  • Develop monitoring systems to track the quality, integrity, and availability of data across pipelines.
  • Implement automated checks for data quality, consistency, and completeness.
  • Set up alerting and monitoring systems to catch issues before they affect production data.
  • Work with data engineering teams to enforce data quality standards across platforms.

Must Have Skills:

  • 7+ years in data quality management and data observability.
  • Experience working with data pipeline monitoring and automation tools (e.g., Airflow, Kafka).
  • Strong knowledge of data observability tools and platforms (e.g., Airflow, DataDog, Prometheus).
  • Expertise in data quality frameworks, including consistency checks, null checks, etc.
  • Familiarity with ETL processes and monitoring data pipelines.

Qualification:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Location: 

  • Bangalore.

About Nomiso:

Nomiso is a product and services engineering company. We are a team of Software Engineers, Architects, Managers, and Cloud Experts with expertise in Technology and Delivery Management. 

Our mission is to Empower and Enhance the lives of our customers, through efficient solutions for their complex business problems. 

At Nomiso we encourage entrepreneurial spirit - to learn, grow and improve. A great workplace, thrives on ideas and opportunities. That is a part of our DNA. We’re in pursuit of colleagues who share similar passions, are nimble and thrive when challenged. We offer a positive, stimulating and fun environment – with opportunities to grow, a fast-paced approach to innovation, and a place where your views are valued and encouraged.

We invite you to push your boundaries and join us in fulfilling your career aspirations!

We are an equal opportunity employer and are committed to diversity, equity, and inclusion. We do not discriminate on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristics.

Top Skills

Airflow
Datadog
Kafka
Prometheus
The Company
HQ: Englewood, Colorado
47 Employees
On-site Workplace

What We Do

We are Nomiso a software co-engineering company and your partner in solving complex business problems with technology. We collaborate with our clients to understand business- and industry-specific challenges and engage with them to push the boundaries of what's possible to deliver impact at pace and scale.
At Nomiso, we are not just delivering innovative solutions; we are Co-engineering Excellence

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