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SRE Dashboard solution engineer or Data engineer

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Onsite

SRE Dashboard solution engineer or Data engineer

Cloudxtreme

SRE Dashboard solution engineer or Data engineer

Skills

SQL QueriesData MiningData VisualizationGitGrafanaData AnalysisAIAWSComplianceAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹1,700,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

4 September 2026

What they need


SRE- developer+ AI+ Grafana

Total exp 4 -5yrs

Location – Bangalore.

Job Title: SRE & Dashboard Solutions Engineer

Designation: SRE & Data Engineer

Job Summary

We are seeking a highly skilled Data Engineer with strong SRE experience with expertise in the design and development of operational data visualization dashboards using Grafana. The ideal candidate should have hands-on experience in building data-driven solutions leveraging Microsoft/GitHub Agentic AI frameworks, enabling intelligent automation and advanced analytics across enterprise systems.

The role requires the ability to design and deliver scalable, data-centric solutions, develop high-quality operational dashboards, and drive AI-enabled automation and insights to improve business decision-making and system efficiency.

Years of Experience Needed

Candidate experience 4 to 5 years

Responsibilities & Technical Skills

  • Analyze existing business processes to identify opportunities for data analytics, operational monitoring, and AI-driven optimization, improving efficiency and reducing manual intervention.
  • Create data visualization solutions that translate complex datasets into actionable insights for business stakeholders
  • Develop, maintain, and enhance operational dashboards using Grafana, providing real-time insights into system performance and business metrics
  • Build advanced dashboard capabilities such as data aggregation, drill-down and drill-up functionalities, and interactive visualizations for deep data analysis.
  • Design and implement dashboard aligned with organizational security, governance, and data policies
  • Identify diverse data sources and implement data standardization, cleansing, and transformation techniques to ensure high-quality and consistent data
  • Design and develop robust data pipelines for data extraction, transformation, and loading (ETL/ELT) across multiple systems
  • Utilize strong SQL expertise for advanced querying, data modeling, performance tuning, and optimization
  • Integrate systems and applications using REST APIs and enterprise integration patterns
  • Ensure adherence to data governance, security policies, and compliance standards across all data and AI solutions
  • Work with both structured and unstructured datasets, enabling comprehensive data analysis and insights generation
  • Collaborate with cross-functional teams including business stakeholders, data engineers, and platform teams to deliver scalable solutions
  • Monitor, troubleshoot, and optimize data pipelines, dashboards, and AI solutions to ensure high performance, reliability, and scalability
  • Continuously identify opportunities to enhance solutions through automation, performance improvements, and adoption of modern data and AI technologies

Mandatory Skills:

  • Strong in SQL, data aggregation, database concepts & data integration.
  • Unix shell scripting, job scheduler & data security.
  • Prior experience in the Banking domain
  • Good coordination and initiative-taking skills
  • Ability to work in offshore team model
  • Experience with database technologies such as SQL and NoSQL.
  • Familiarity with version control systems, preferably Git.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills.

Preferred Skills:

  • Strong leadership and mentoring skills
  • Excellent problem-solving ability
  • Strong communication and stakeholder management
  • Knowledge of cloud platforms like AWS or Azure.
  • Familiarity with Agile methodologies and project management tools.
  • Understanding of DevOps practices and CI/CD pipelines.

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