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Python Data Engineer (Pipelines, Data Quality, Cloud Workflows)

DuskByte
Punjab

Job details

Full-time

Qualifications

CI/CD
Cloud infrastructure
Azure
Cloud architecture
Kubernetes
NoSQL
MongoDB
Master's degree
SQL
Pandas
AWS
Docker
PostgreSQL
Continuous integration
Redis
APIs
Apache
Python
MySQL

Full job description

Automated Data Pipelines, Data Validation (Great Expectations), and Cloud-Native Workflows. Remote / Hybrid · Full-Time

The Mission

In a modernised enterprise, "Garbage In, Garbage Out" is a business-killing risk. At DuskByte, we treat data as code. As a Python Data Engineer, you will be the architect of our "Data Reliability" layer. You will build the sophisticated Python-based pipelines that ensure data from legacy systems is cleaned, transformed, and delivered to modern cloud environments with 100% integrity and zero manual intervention.

What You Will Do (The Role)

Automated Pipeline Engineering

Design and implement robust ELT/ETL workflows using Python (Pandas, PySpark, Dask) and modern orchestrators like Airflow, Dagster, or Prefect.

Data Quality Frameworks

Build automated "Circuit Breakers" for data using frameworks like Great Expectations or Pandas Profiling to halt pipelines if data quality drops.

Legacy-to-Cloud Integration

Write custom Python connectors to extract data from aging APIs, flat files, or legacy SQL databases and stream them into AWS, GCP, or Azure.

Workflow Modernisation

Transition brittle, manual cron jobs into scalable, containerized cloud workflows using Docker and Kubernetes.

Performance Tuning

Optimize Python processing scripts for memory efficiency and execution speed, ensuring cost-effective cloud resource usage.

The Data Architect Tech Stack

You are a master of the Python data ecosystem

The Core

Advanced Python 3.x (Asynchronous programming, Generators, and Type Hinting).

Data Processing

Pandas, PySpark, Polars, or Dask.

Orchestration

Apache Airflow, Dagster, or Prefect.

Database Mastery

Expert SQL (PostgreSQL/MySQL) and experience with NoSQL (Redis, MongoDB).

Cloud Infrastructure

Professional experience with AWS Glue/Lambda, GCP Cloud Functions/Dataflow, or Azure Data Factory.

Validation

Great Expectations, Pydantic, or DBT tests.

Who You Are (Requirements)

The "Clean Code" Dataist

You don't just write scripts; you write maintainable, tested, and documented Python code. You believe in PEP 8 and CI/CD for data.

The Integrity Obsessive

You hate "silent failures." You build monitoring and alerting into every stage of the data lifecycle.

The Systems Architect

You understand how data moves through a network and how to handle API rate limits, retries, and backoffs gracefully.

Experience

8+ years of professional Python development with a heavy focus on data engineering or backend systems.

Why This Role is Critical at DuskByte

You are the "Protector of Truth." You ensure that when our MLOps Engineers build a model or our Full-Stack Engineers build a dashboard, the data they are using is accurate, fresh, and secure. You turn "Messy Legacy Data" into "High-Value Enterprise Assets."