Data Engineer - Grafana

Job Description

Job Description

Role Purpose

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."

Job Description

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.

Key Skills & Responsibilities

• 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

The expected compensation for this role ranges from $60,000 to $148,500 .

Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.

Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.

Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.

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