Phython Fullstack Chennai

About the Role

In this role as a Python Fullstack Developer at Hexaware Technologies, you will be responsible for designing, developing, and deploying full-stack applications using Python. Your day-to-day tasks will involve working on various aspects of software development, including data engineering, automation scripts, and data quality checks. You will be part of a team that works on multiple projects simultaneously, requiring strong communication and collaboration skills.

Key Responsibilities

• Design and develop full-stack applications using Python, focusing on data engineering and automation scripts.
• Work on data quality checks, ensuring data accuracy and consistency.
• Develop and maintain data pipelines using PySpark, Spark SQL, and DataFrames.
• Implement data engineering solutions using Delta Lake and ETLELT processes.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain automation scripts to streamline development processes.
• Participate in code reviews and contribute to improving the overall quality of the codebase.

Skills & Qualifications

• Bachelor's degree in Computer Science or related field.
• Strong knowledge of Python programming language and its applications.
• Experience with data engineering tools such as PySpark, Spark SQL, and DataFrames.
• Understanding of data quality checks and data validation techniques.
• Knowledge of automation scripts and scripting languages such as Python or Bash.
• Familiarity with data engineering concepts and practices.
• Strong problem-solving skills and ability to work in a team environment.

What You'll Learn

In this role, you will have the opportunity to learn and grow as a full-stack developer, working on various aspects of software development. You will gain hands-on experience with data engineering tools, automation scripts, and data quality checks. Additionally, you will develop strong problem-solving skills and learn to work effectively in a team environment.

Resume Tip

When applying for this role, make sure to highlight your experience with Python and data engineering tools. Emphasize any projects or experiences where you have worked with data pipelines, automation scripts, or data quality checks. This will help demonstrate your skills and relevance for the position.