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

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.

Desired Skill Set

Must-Have:

• 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.

Good to have skills:

• 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.

If you are comfortable with JD please share the below details at abhinav.jaiswal@carnationit.com with your updated resume.

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