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AWS Python Developer (spark)

This role is for an AWS Python Spark Developer in Richmond, VA, with a 12-month W2 contract offering competitive pay. Requires 7-8 years of experience, strong skills in AWS services, Python, Spark, and database management, preferably in financial services.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Hybrid
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Richmond, VA
🧠 - Skills detailed
#Redshift #Big Data #Data Storage #Apache Spark #Data Encryption #Compliance #RDS (Amazon Relational Database Service) #Scala #Cloud #Data Engineering #IAM (Identity and Access Management) #NoSQL #Terraform #Data Pipeline #Programming #Datasets #Jenkins #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Modeling #Databases #Data Processing #Storage #Security #DevOps #Lambda (AWS Lambda) #PostgreSQL #PySpark #Python #Spark (Apache Spark) #GIT #ML (Machine Learning)
Role description
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Job Title: AWS Python Spark Developer with Database Knowledge

Location: Richmond, VA (Onsite/Hybrid)

Duration: 12 Months

Employment Type: W2 Contract Only

Experience: 7-8 Years

Job Description:

We are seeking a highly skilled AWS Python Spark Developer with strong database expertise to join our team for a 12-month W2 contract in Richmond, VA. The ideal candidate will have hands-on experience with big data processing, AWS cloud services, and ETL pipeline development.

Key Responsibilities:

Develop and optimize ETL pipelines using Python and Apache Spark on AWS.

Work with large-scale datasets and implement distributed data processing solutions.

Utilize AWS services such as S3, Lambda, Glue, EMR, Redshift, and RDS.

Optimize Spark jobs for performance, scalability, and cost-efficiency.

Implement data modeling, governance, and security best practices.

Collaborate with data engineers, analysts, and stakeholders to meet business needs.

Troubleshoot and resolve performance bottlenecks in data pipelines.

Work with relational (PostgreSQL, Redshift) and NoSQL databases for efficient data storage and retrieval.

Required Skills & Experience:

AWS Expertise: Hands-on experience with S3, Glue, EMR, Lambda, Redshift, IAM.

Python & Spark: Strong programming skills in Python and experience with PySpark.

Big Data & ETL: Experience in scalable data pipeline development using Spark.

Databases: Strong knowledge of SQL, PostgreSQL, Redshift, or other relational and NoSQL databases.

Data Processing: Expertise in data partitioning, compression, and performance tuning.

CI/CD & DevOps: Familiarity with Git, Jenkins, Terraform, or CloudFormation is a plus.

Cloud Security & Compliance: Understanding of AWS security best practices and data encryption.

Preferred Qualifications:

Experience in the financial services sector is a plus.

Knowledge of machine learning frameworks on AWS is a bonus.

Certifications such as AWS Certified Data Analytics or AWS Solutions Architect are preferred.

Note: This position is W2 contract only. No C2C or third-party candidates.

If you're a highly experienced AWS Python Spark Developer looking for an exciting opportunity in Richmond, VA, we encourage you to apply!