Data Engineer

The role

Key Responsibilities

• Build & Manage Data Pipelines:

  Develop secure and scalable data ingestion and transformation pipelines using

  AWS services

  (Glue, Lambda, Athena, Timestream, S3) and edge technologies (

  MQTT, AWS IoT Greengrass

  ).

• Infrastructure as Code (IaC):

  Define, develop, and deploy cloud infrastructure using

Terraform

• SQL & Data Transformation:

  Write, optimize, and maintain complex

  SQL queries

  for data transformation and validation across AWS data services.

• Observability & Security:

  Implement and maintain observability tools (

  CloudWatch, Grafana

  ) and ensure robust data security using best practices for

  IAM, encryption, and access control

  .

• Cross-Functional Collaboration:

  Partner with software, DevOps, and product teams to deliver comprehensive data solutions.

Core Requirements

• Education & Experience:

  Bachelor s degree in Computer Science, Engineering, or a related technical field, coupled with

  2+ years of hands-on software or data engineering experience

  in a multidisciplinary team.

• Development Lifecycle:

  Proven experience in prototyping, testing, and code review across full development cycles.

• Technical Skills:

• Strong proficiency in

  SQL

  .
• Skilled in scripting languages like

  Python or JavaScript

  .
• Experience with

  Linux environments, Docker, and Git

  .
• Solid understanding of cloud infrastructure and

  Terraform

  .

• Key Attributes:

  Self-motivated, responsible, adept at managing multiple priorities independently, with excellent communication, collaboration, and analytical skills. A proactive, quick learner with a strong sense of initiative and ownership.

Preferred Qualifications

• Experience with low-latency

  edge-to-cloud data pipelines

  .
• Familiarity with

  React/Node.js

  for internal tools or dashboards.
• Hands-on experience with a broader range of

  AWS services

  and IaC tools (e.g., Terragrunt, Atlantis).
• Exposure to additional monitoring tools (e.g., Prometheus) or end-to-end testing frameworks.