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# Data Engineer - Grafana

- **Company:** Wipro Limited
- **Location:** Seattle, WA, United States
- **Experience:** Experienced
- **Salary:** $60,000.0 - $148,500.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Visualization, Data Warehousing, Relational Databases, Database Queries, Software Debugging, JSON, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Power BI, Prometheus, Software Engineering, SQL Databases, Parquet, Data Processing, Azure Data Factory, Grafana, Apache Spark, Git, Kubernetes, Restful APIs, Software Version Control, Data Pipelines, Docker, Databricks
- **Published:** September 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=52224fb5e46adc69

## About the Role

We are looking for a Data Engineer / BI Engineer with 3-4 years of experience and strong fundamentals in data engineering, SQL, and BI/visualization.

Hands-on Grafana experience is mandatory. The candidate can have experience with either AWS or Microsoft Azure; there is no specific cloud-stack restriction., Strong hands-on experience with Grafana , including dashboard development, data-source integration, queries, monitoring, and alerting
Strong proficiency in SQL , including complex queries, joins, views, and data transformations
Experience building and maintaining ETL/ELT pipelines and data integration workflows
Good understanding of data modeling, data warehousing, and analytical/reporting datasets
Working knowledge of Python for data processing and automation
Experience with relational databases such as SQL Server, PostgreSQL, MySQL, or equivalent
Experience with either AWS or Azure data services
Familiarity with REST APIs and data formats such as JSON, CSV, and Parquet
Understanding of Git/version control and basic CI/CD practices
Strong analytical, debugging, and data troubleshooting skills
Power BI, Spark/Databricks, Prometheus, Docker, or Kubernetes experience would be a plus

Mandatory Skills: Data Visualizations Engineering .

Experience: 5-8 Years .

## Description

The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.

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Areas of responsibility

Gathering of requirements-Participate in gathering requirements for specific modules and ensure clear, structured documentation. Work across multiple business processes to capture linkages, dependencies, and required changes.

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Solution Design-Facilitate creation of application solution designs for a specific module under the guidance of the Project Manager, ensuring alignment with business requirements and technical standards.

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Coding and Configuration-"Review the developed codes, resolve technical queries of the team for the assigned module and create consistent replication patterns, to ensure that the developed code aligns with the project standards.Collaborate with project managers through all phases of software development life cycle."

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Perform root-cause analysis to identify and troubleshoot recurring technical issues. Modify software codes to resolve errors, adapt to new hardware and software, enhance performance, and upgrade interfaces."

Implementation-"Collaborate with technical teams to validate configurations, facilitate integration of new applications, and address dependencies during deployment. Prepare user training documents and related frameworks to ensure smooth adoption new applications and minimize transition risks."