Junior Python Developer – Netflix Data Analytics focus

🏢 Accenture📍 New Port Richey, FL, United States💼 Full-Time💻 On-site🏭 Information Technology💰 60000-80000 per year

About the Company

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 732,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create 360° value for our clients, people, shareholders, partners and communities.

Job Description

Accenture is seeking a motivated and analytical Junior Python Developer to join our dynamic team in New Port Richey, FL. This role offers an exciting opportunity to work on projects with a specific focus on data analytics challenges within the entertainment sector, drawing insights from large datasets potentially related to streaming platforms like Netflix. You will be instrumental in developing, testing, and deploying Python-based solutions to extract, transform, and load data, build robust data pipelines, and support analytical models. This position is ideal for an ambitious individual eager to kickstart their career in data-driven development within a global consulting environment. You will gain hands-on experience with cutting-edge technologies and methodologies, contributing directly to client success and innovation.

Key Responsibilities

  • Develop, test, and maintain Python scripts and applications for data extraction, transformation, and loading (ETL).
  • Assist in designing and implementing data pipelines to support analytical models, focusing on efficiency and scalability.
  • Collaborate with senior developers and data scientists to understand data requirements and translate them into technical solutions.
  • Perform data cleaning, validation, and quality assurance to ensure accuracy and reliability of datasets.
  • Contribute to the development and optimization of analytical tools and dashboards.
  • Write clear, concise, and well-documented code following best practices.
  • Participate in code reviews, testing, and deployment processes.
  • Support existing data infrastructure and troubleshoot issues as they arise.
  • Continuously learn and apply new technologies and methodologies in data analytics and Python development.

Required Skills

  • Proficiency in Python programming.
  • Familiarity with data structures and algorithms.
  • Basic understanding of SQL and relational databases.
  • Ability to learn and adapt to new technologies quickly.
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.

Preferred Qualifications

  • Experience with Python data libraries (e.g., Pandas, NumPy).
  • Understanding of data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau).
  • Knowledge of cloud platforms (e.g., AWS, Azure, GCP).
  • Familiarity with version control systems (e.g., Git).
  • Exposure to big data technologies (e.g., Spark) is a plus.
  • Prior internship or project experience in data analytics or software development.

Perks & Benefits

  • Competitive salary and performance bonuses.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) matching program.
  • Generous paid time off and holidays.
  • Opportunities for professional development and continuous learning.
  • Mentorship programs and career growth pathways.
  • Access to cutting-edge technologies and industry-leading experts.
  • Collaborative and inclusive work environment.
  • Employee wellness programs.

How to Apply

If you are interested in this position, please click the "Apply Now" button below. To ensure your application is properly considered, please prepare the following:

  • An up-to-date Resume or CV
  • A brief cover letter summarizing your experience and motivation

Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted for an interview.

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