iTech US, Inc.

Python Fullstack

iTech US, Inc.Contract
California
8 - 12 YearsApr 24th, 2026
60 ViewsBe an Early Applicant
Required Skillset:
MLOps

Job Description

Title: Python Fullstack with MLOps
Need someone who has started their journey frm data engineer /data analyst to Python developer
Duration: 6+ Months

Location: Santa Clara(Hybrid 3Days/Week)

Minimum Years of experience: 8-10 Years

VISA’s: USC and H1B only

Note: LinkedIn should be old

MOI: Virtual.

Need Local Candidates only

Job Description:

Key Responsibilities

Design and develop CLI tools, scripts, and internal utilities to automate repetitive tasks across the data platform, including:

Pipeline execution and orchestration

Data governance workflows

Metadata synchronization

Environment setup and configuration

Test harness development

Automate workflows on Databricks, including:

Job deployment and scheduling

Environment provisioning

MLOps processes using APIs, Terraform, or Databricks SDK

Build and implement robust testing frameworks:

Integration testing for pipelines


 

Required Skills & Qualifications

Strong experience in Python and scripting for automation and backend development

Hands-on experience with Databricks platform and ecosystem

Experience with APIs, Terraform, and/or Databricks SDK for automation

Solid understanding of ETL/ELT pipelines and data platform architecture

Experience building testing frameworks for data pipelines and ML workflows

Familiarity with CLI tool development and system automation

Knowledge of MLOps principles and practices

Experience with modern development practices, including:

Spec-driven development

Use of coding agents or automation-assisted development tools

Version control and CI/CD pipelines

 

Nice to Have

Experience building dashboards or internal tools using React, Streamlit, or similar frameworks

Familiarity with Databricks AI/BI or other data visualization tools

Exposure to data governance and metadata management frameworks

Experience working with cloud platforms (AWS preferred)

 

Preferred Experience

8+ years of experience in Data Engineering, Platform Engineering, or related roles

Experience working in data-driven or ML-focused environments

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