Aws Data Engineer

7 days ago

Coimbatore, Tamil Nadu, India Reveille Technologies Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Role: Data Engineer

Experience: 4 - 6 years

Location: Coimbatore

Job Type: Full Time

Mode of work: Hybrid (Weekly 2 days WFO)

Notice period: Immediate

Mandatory Skills Required: Python, PySpark, AWS, Data Bricks, SQL.

Job Description:

Roles and Responsibilities:

  • Design, develop, and maintain efficient ETL processes using Python, SQL, AWS Glue, and Redshift.
  • Automate data flows and integrations using AWS Lambda and other serverless services. Propose improvements and optimizations to existing pipelines, prioritizing performance, scalability, and maintainability.
  • Collaborate on the design of scalable and resilient data architectures in AWS.
  • Develop and manage infrastructure as code using Terraform.
  • Actively participate in code reviews and collaborative version control workflows using Git.
  • Document technical solutions and promote best practices in data engineering.
  • Ensure that data processing pipelines can handle large-scale datasets (Big Data). Who were looking for: Technical Requirements:
  • Programming Languages: o Python – 3+ years of experience (Intermediate to advanced level) o SQL – 3+ years of experience, capable of working with complex data models
  • Large-scale data processing: o Experience with PySpark or Big Data environments – 1–2+ years (preferred) o Familiarity with distributed processing and performance optimization for high-volume data pipelines
  • AWS Technologies: o Lambda, Glue, Redshift, S3 – 2–3 years of hands-on experience o Experience designing ETL workflows using native AWS services
  • Infrastructure and DevOps: o Terraform – 1–2 years of experience (Intermediate level) o Git – Daily use in collaborative development environments
  • Best Practices: o Well-structured project organization, error handling, logging, and automated testing within data pipelines Professional Profile:
  • Proactive mindset with a drive to propose and implement improvements
  • Analytical thinker with the ability to identify bottlenecks and performance issues  Effective collaborator with both technical teams and non-technical stakeholders
  • Strong documentation and technical communication skills Nice to have (not mandatory):
  • Experience with monitoring and observability tools for data pipelines (CloudWatch, logging, alerting) Knowledge of event-driven architecture design
  • Familiarity with orchestration tools like Apache
  • Experience with automated testing for data pipelines
  • Background in Fintech or experience handling financial datasets
  • AWS certifications are a plus.

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