Python Senior Technical Lead with Data Analysis, SQL

Cloud Hybrid Technologies, LLC

Phoenix (AZ)

On-site

Full time

14 days+

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Job summary

A technology company based in Phoenix, AZ, is seeking a Python Senior Technical Lead to manage and implement SQL and data analysis solutions. You will lead projects from inception to completion and collaborate with cross-functional teams. The ideal candidate must have proficiency in SQL for database design and optimization, strong Python programming skills, and the ability to analyze data for decision-making. This role offers an hourly rate depending on experience and is open to diverse applicants.

Qualifications

  • Proficient in SQL to design and optimize databases.
  • Strong data analysis skills for business insights.
  • Experience in Python programming for automation.

Responsibilities

  • Lead technical projects involving SQL, data analysis, and Python.
  • Design and develop SQL databases and queries.
  • Conduct data analysis to derive valuable insights.
  • Develop and maintain Python scripts for automation.
  • Collaborate with teams for technical solution integration.
  • Troubleshoot technical issues with SQL and Python.

Skills

SQL database design
Data analysis
Python programming
Data visualization tools
Problem-solving
Communication skills

Job description

Python Senior Technical Lead with Data Analysis, SQL

Location: Phoenix, AZ

Duration: 12Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization:

Job Summary

This position entails leading technical projects in the areas of SQL, data analysis, and Python. The Senior Technical Lead will be responsible for overseeing the development and implementation of technical solutions that leverage SQL databases, perform data analysis, and utilize Python programming for automation and data manipulation tasks.

Key Responsibilities
  • Lead technical projects involving sql, data analysis, and python from inception to implementation.
  • Design and develop sql databases, queries, and stored procedures to support various applications.
  • Conduct data analysis to derive valuable insights and make data driven decisions.
  • Develop and maintain python scripts to automate tasks and streamline processes.
  • Collaborate with cross functional teams to integrate technical solutions and ensure compatibility.
  • Troubleshoot technical issues related to sql databases, data analysis, and python scripts.
  • Stay updated on emerging technologies and recommend enhancements to existing systems.
Skill Requirements
  • Proficient in sql to design and optimize databases, write complex queries, and create stored procedures.
  • Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.
  • Experience in python programming for automation, data manipulation, and scripting tasks.
  • Knowledge of data visualization tools to present findings in a clear and understandable manner.
  • Excellent problem-solving abilities and attention to detail to identify and resolve technical issues efficiently.
  • Strong communication skills to collaborate with team members and stakeholders effectively.

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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