Full-Time

AWS Glue Data Engineer

Data Engineering, AWS

Posted on 9/3/2025

qode.world

qode.world

51-200 employees

AI-powered talent acquisition for tech roles

No salary listed

Fort Mill, SC, USA + 1 more

More locations: New York, NY, USA

Hybrid

Hybrid position requiring in-office presence.

Category
Data & Analytics (1)
Required Skills
Agile
Redshift
Python
SQL
AWS
SCRUM
Requirements
  • 12+ years of experience in Data Engineering, with at least 5+ years on AWS cloud data services.
  • Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWatch.
  • Proficiency in PySpark, Python, SQL for ETL and data transformations.
  • Experience in data modeling (star, snowflake, dimensional models) and performance tuning.
  • Hands-on experience with data lake/data warehouse architecture and implementation.
  • Strong problem-solving skills and ability to work in Agile/Scrum environments.
Responsibilities
  • Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog.
  • Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses.
  • Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration.
  • Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations.
  • Implement data quality checks, lineage, and monitoring across pipelines.
  • Collaborate with business analysts, data scientists, and product teams to deliver reliable data solutions.
  • Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred).
  • Troubleshoot production issues and optimize pipeline performance.
Desired Qualifications
  • Experience in BFSI / Wealth Management domain.
  • AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification.
  • Familiarity with CI/CD pipelines for data engineering (CodePipeline, Jenkins, GitHub Actions).
  • Knowledge of BI/Visualization tools like Tableau, Power BI, QuickSight.

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