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Data Engineer

DIGITALLOGICS HI-TECH SOLUTIONS PRIVATE LIMITED
Hyderabad
5 - 10 Years

Posted on: 01/12/2025

Job Description

Night shift starting 9.30 pm IST

Key Responsibilities :

- Build & Manage Data Pipelines : Develop secure and tools. 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. 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 4+ years of hands-on software or data engineering experience in a multidisciplinary team.

- Development Lifecycle : Proven experience in prototyping, testing, and reviewing code 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.

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