Analytics Engineer (Kafka, Grafana) | Permanent Remote OR WFH

Carnation Infotech; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A tech company is seeking an Analytics Engineer to design executive dashboards and manage data pipelines. The ideal candidate will have a strong background in Kafka, times-series databases, and dashboard design. This is a full-time remote position requiring 5-8 years of experience, with a focus on delivering actionable insights for business decision-making.

Qualifications

• 5-8 years of relevant experience required.
• Strong expertise in streaming data transformation.
• Experience with time-series databases.

Responsibilities

• Collaborate with the CTO and leadership team to understand business requirements.
• Design real-time data pipelines from Kafka into TimescaleDB.
• Develop and maintain Grafana dashboards to present insights.

Skills

Hands-on experience with Apache Kafka

Proficiency in SQL

Experience in designing Grafana dashboards

Understanding of ETL/ELT pipelines

Proficiency in programming languages (Python, Java, Scala)

Strong analytical skills

Education

B. Tech/M. Tech/BCA/MCA

Tools

TimescaleDB

PostgreSQL

Docker

Kubernetes

Job description

Job Specifications

• Job Title: Analytics Engineer
• Department: Software Development & Engineering
• Seniority Level: Mid-Senior Level
• Employment Type: Full-Time Contract (8 Hours Support Needed)
• Relevant Experience: 5-8 Years
• Qualification: B. Tech/M. Tech/BCA/MCA
• Shift Timings: Afternoon Shift (3:30 PM-12:30 AM IST)
• (Shift timings are subject to change according to project requirements)
• Job Location: 100% Remote / Work from Home

Position Overview

We are seeking a highly skilled Analytics Engineer to design and implement executive-level dashboards that provide real-time operational insights for our C-suite leadership team. This role involves end-to-end ownership of the data transformation pipeline from ingesting event streams via Kafka to storing business-ready datasets in TimescaleDB and finally exposing them through Grafana dashboards.

The ideal candidate will have strong expertise in streaming data transformation, time-series databases, and dashboard design, combined with the ability to translate business requirements into technical solutions.

Key Responsibilities

• Collaborate with the CTO and leadership team to understand business requirements for executive insights.
• Design and implement real-time data pipelines from Kafka into TimescaleDB.
• Define and build robust data transformation logic to convert raw event streams into structured, business-ready datasets.
• Develop and maintain Grafana dashboards to present actionable insights on daily operations.
• Optimize queries, schema design, and storage strategies in TimescaleDB for high performance and scalability.
• Ensure data accuracy, consistency, and availability for real-time decision making.
• Implement monitoring and alerting for the data pipeline to ensure reliability and resilience.
• Stay up to date with advancements in real-time analytics and propose improvements to the overall architecture.

Required Qualifications

• Strong hands-on experience with Apache Kafka (data ingestion, stream processing, connectors).
• Proficiency in SQL and working with TimescaleDB or PostgreSQL (time-series database experience).
• Experience in designing and deploying Grafana dashboards for business reporting.
• Solid understanding of ETL/ELT pipelines, real-time data transformations, and data modeling.
• Proficiency in one or more programming languages (e.g., Python, Java, Scala) for building data pipelines.
• Strong analytical skills and ability to translate business needs into technical solutions.

Nice to Have

• Exposure to stream processing frameworks such as Apache Flink, Kafka Streams, or Spark Streaming.
• Familiarity with containerized environments (Docker/Kubernetes) and CI/CD practices.
• Experience with monitoring and logging tools (Prometheus, ELK stack, etc.).
• Background in executive reporting, KPI definition, or operational analytics.
• Knowledge of cloud platforms (AWS, GCP, Azure) for hosting and scaling real-time data solutions.

Traits

• Strong business acumen to align technical solutions with executive priorities.
• Clear and concise communication skills for both technical and non-technical stakeholders.
• Collaborative and proactive in gathering requirements and delivering solutions.
• High ownership, accountability, and attention to detail in execution.
• Adaptable and solution-oriented, comfortable working in fast-changing environments.

How to Apply

If you are comfortable with this JD, please share your updated resume and details at [e-mail].

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