INACTIVE

Full-Time

AWS Data Engineer

Data Engineering, AWS Services

Posted on 8/27/2025

qode.world

51-200 employees

AI-powered talent acquisition for tech roles

No salary listed

Ohio, USA

In Person

Category

Data & Analytics (1)

Required Skills

Kubernetes

Redshift

Python

Airflow

SQL

Docker

AWS

Requirements

Strong programming skills in Python and hands-on experience with PySpark.
Proficiency in SQL for complex queries, transformations, and performance tuning.
Solid experience with AWS cloud ecosystem (S3, Glue, EMR, Redshift, Athena, Lambda, etc.).
Experience working with data lakes, data warehouses, and distributed systems.
Knowledge of ETL frameworks, workflow orchestration (Airflow, Step Functions, or similar), and automation.
Familiarity with Docker, Kubernetes, or containerized deployments.
Strong understanding of data modeling, partitioning, and optimization techniques.
Excellent problem-solving, debugging, and communication skills.

Responsibilities

Design, develop, and optimize data pipelines using Python, PySpark, and SQL.
Build and manage ETL/ELT workflows for structured and unstructured data.
Leverage AWS services (S3, Glue, EMR, Redshift, Lambda, Athena, Kinesis, Step Functions, RDS) for data engineering solutions.
Implement data lake/data warehouse architectures and ensure data quality, consistency, and security.
Work with large-scale distributed systems for real-time and batch data processing.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data solutions.
Develop and enforce data governance, monitoring, and best practices for performance optimization.
Deploy and manage CI/CD pipelines for data workflows using AWS tools (CodePipeline, CodeBuild) or GitHub Actions.

Job Summary

We are looking for an experienced AWS Data Engineer with strong expertise in Python and PySpark to design, build, and maintain large-scale data pipelines and cloud-based data platforms. The ideal candidate will have hands-on experience with AWS services, distributed data processing, and implementing scalable solutions for analytics and machine learning use cases.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python, PySpark, and SQL.

· Build and manage ETL/ELT workflows for structured and unstructured data.

· Leverage AWS services (S3, Glue, EMR, Redshift, Lambda, Athena, Kinesis, Step Functions, RDS) for data engineering solutions.

· Implement data lake/data warehouse architectures and ensure data quality, consistency, and security.

· Work with large-scale distributed systems for real-time and batch data processing.

· Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality, reliable data solutions.

· Develop and enforce data governance, monitoring, and best practices for performance optimization.

· Deploy and manage CI/CD pipelines for data workflows using AWS tools (CodePipeline, CodeBuild) or GitHub Actions.

Required Skills & Qualifications

· Strong programming skills in Python and hands-on experience with PySpark.

· Proficiency in SQL for complex queries, transformations, and performance tuning.

· Solid experience with AWS cloud ecosystem (S3, Glue, EMR, Redshift, Athena, Lambda, etc.).

· Experience working with data lakes, data warehouses, and distributed systems.

· Knowledge of ETL frameworks, workflow orchestration (Airflow, Step Functions, or similar), and automation.

· Familiarity with Docker, Kubernetes, or containerized deployments.

· Strong understanding of data modeling, partitioning, and optimization techniques.

· Excellent problem-solving, debugging, and communication skills.

qode.world

View Company Profile

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'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.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Hybrid Work Options

Growth & Insights

Headcount

6 month growth

↓ -5%

1 year growth

↓ -4%

2 year growth

↑ 9%

INACTIVE