Senior Python Developer

AKTRA INC.

McLean, VA, United States

about 2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

indeed.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Big Data Cloud Engineering Continuous Integration Information Engineering Data Integration Extract Transform Load (ETL) Distributed Computing Environment

+15 more

Python (Programming Language) NumPy Software Engineering SQL Databases Sql Optimization Apache Spark Pandas Event Driven Architecture Pyspark Real Time Data Data Management Restful APIs Data Pipelines Serverless Computing Microservices

Job description

Design and develop scalable data pipelines and processing solutions.
Build batch and real-time data workflows using Python and PySpark.
Develop AWS-based applications and services using serverless and containerized architectures.
Build APIs and backend services to support data integrations.
Optimize performance, reliability, and scalability of applications and data platforms.
Collaborate with cross-functional teams to deliver business solutions.
Support testing, deployment, monitoring, and production operations.

Requirements

Do you have experience in Spark implementation?, We are seeking a Senior Python Data Engineer to design, develop, and support scalable cloud-native data solutions. The ideal candidate will have strong experience with Python, PySpark, SQL, and AWS, building high-performance data pipelines and distributed processing systems in enterprise environments., * 5-10 years of software development or data engineering experience.

Strong hands-on Python development experience.
Experience with PySpark and distributed data processing.
Advanced SQL skills and experience working with large datasets.
Hands-on experience with AWS services including:
S3, Redshift, RDS
Lambda, EC2, ECS, EMR, AWS Batch
Experience building scalable data pipelines and ETL/ELT solutions., * Experience with NumPy, Pandas, or Polars.
Experience building REST APIs and microservices.
Knowledge of cloud-native and event-driven architectures.
Experience with Agile and CI/CD practices.
Experience working with enterprise-scale data platforms.