Data Analyst

MACHINE LEARNING TECHNOLOGIES LLC; Wilmington (DE); On-site; USD 60,000 - 80,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC seeks a Data Analyst for Wilmington, DE to support government projects. You will apply GCP Dataflow and PySpark to process and analyze large data sets, and use SQL to query and transform data. Strong documentation for requirements and specifications is essential.

The role emphasizes data quality, mapping from source to target, and collaboration with stakeholders to define data requirements and deliverables in an enterprise environment.

Qualifications

• Experience with Google Cloud Platform and Dataflow required.
• Strong PySpark experience for data processing and analysis.
• Proficient SQL skills for querying and data manipulation.
• Experience with data mapping and transformation documentation.

Skills

GCP Dataflow

PySpark

SQL

Source-to-target mapping

Documentation skills

Job description

Job Description

Job Overview

• Job ID: J53394
• Job Title: Data Analyst
• Location: Wilmington, DE
• Duration: 18 Months + Extension
• Domain Exposure: Government
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Mandatory Skills

• Proven experience with Google Cloud Platform (GCP), specifically GCP Dataflow.
• Strong proficiency in PySpark for data processing and analysis.
• Hands-on experience with SQL for querying and manipulating data.
• Experience in source to target mapping and data transformation processes.
• Excellent documentation skills for requirement gathering and technical specifications.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.