Full-Time

AWS Data Engineer

Data Engineering, AWS Services

Posted on 8/17/2025

qode.world

qode.world

51-200 employees

AI-powered talent acquisition for tech roles

No salary listed

Haryana, India

In Person

Category
Data & Analytics (1)
Required Skills
Redshift
Python
SQL
AWS
NumPy
Requirements
  • Strong experience with Data Engineering practices.
  • Experience in AWS services, particularly AWS Glue, Lambda, S3, and other AWS data tools.
  • Proficiency in SQL, python, Pyspark, numpy etc and experience in working with large-scale data sets.
  • Experience in designing and implementing ETL pipelines in cloud environments.
  • Expertise in troubleshooting and optimizing data processing workflows.
  • Familiarity with data warehousing concepts and cloud-native data architecture.
  • Knowledge of automation and orchestration tools in a cloud-based environment.
  • Strong problem-solving skills and the ability to debug and improve the performance of data jobs.
  • Excellent communication skills and the ability to work collaboratively with cross-functional teams.
Responsibilities
  • Design and implement robust ETL pipelines using AWS Glue, Lambda, Redshift and S3.
  • Monitor and optimize the performance of data workflows and batch processing jobs.
  • Troubleshoot and resolve issues related to data pipeline failures, inconsistencies, and performance bottlenecks.
  • Collaborate with cross-functional teams to define data requirements and ensure data quality and accuracy.
  • Develop and maintain automated solutions for data transformation, migration, and integration tasks.
  • Implement best practices for data security, data governance, and compliance within AWS environments.
  • Continuously improve and optimize AWS Glue jobs, Lambda functions, and S3 storage management.
  • Maintain comprehensive documentation for data pipeline architecture, job schedules, and issue resolution processes.
Desired Qualifications
  • Good to have knowledge of DBT & Snowflake

Qode.world focuses on recruiting specialized tech roles. It uses AI to streamline assessments through customizable AI interviewers and live interviews, and it integrates with LinkedIn to build a talent pool and message candidates. The platform provides data-driven insights from global data points to improve candidate matching. Revenue comes from tailored recruitment services targeting niche and senior positions, aiming to increase hiring efficiency and speed for clients. Compared to competitors, Qode.world emphasizes niche tech expertise, scalable AI interview workflows, and direct candidate communication via LinkedIn, which helps quickly identify qualified candidates from a broad network.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Singapore

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • GenAI talent assessment adoption among Fortune 500 firms grew 40%+ in 2025-2026, expanding TAM.
  • Technical recruiting for emerging roles shows 35% YoY demand growth with 90+ day time-to-hire gaps.
  • Financial services sector accelerating digital transformation hiring; Qode has existing vertical expertise.

What critics are saying

  • LinkedIn API restrictions block access to 500M+ profiles; probability 70-90% within 3-6 months.
  • EU AI Act enforcement fines €20M+ for high-risk recruitment AI lacking certified bias audits.
  • OpenAI's 2026 recruitment fine-tuning models enable enterprises to build in-house tools at 1/3 cost.

What makes qode.world unique

  • AI-powered sourcing accesses 500M+ global profiles with precision ranking and automated outreach sequences.
  • Tracy AI interviewer conducts structured, bias-free assessments in 30+ languages with integrity monitoring.
  • Unified platform consolidates sourcing, ATS, interviews, and hiring decisions in single enterprise environment.

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Benefits

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

-5%

1 year growth

-4%

2 year growth

9%
INACTIVE