Highlights
Experience in Python, Data Validation, Large Datasets, Problem Solving, Rotational Shifts
Description
Job Summary
pWe are seeking a skilled Python Developer to join our team. The ideal candidate will be responsible for developing and programming data validation scripts, testing datasets, performing data cleansing, and ensuring adherence to project timelines. This role requires strong problem-solving skills, attention to detail, and experience in using Python libraries such as NumPy and Pandas.
Responsibilities
- Develop and program data validation scripts using Python
- Test datasets for accuracy and consistency
- Perform data validation and quality checks on raw and processed datasets
- Download, review, and format interim and final datasets for internal review and client delivery in various formats
- Identify data discrepancies and troubleshoot issues independently
- Collaborate with internal teams to address data-related queries and improve processes
Required Skills
- Data Validation Techniques
- Pandas Library Proficiency
- Python Programming Expertise
- Data Cleansing Methods
- Statistical Analysis Basics
Required Skills Explained
- Hands-on experience in programming using Python.
- Strong knowledge of Python libraries such as NumPy and Pandas.
- Familiarity with data validation, data cleansing techniques, and basic statistical concepts.
- Strong problem-solving skills with the ability to prioritize and manage multiple projects simultaneously.
- High attention to detail and commitment to data accuracy.
Who is this for
pThis role is perfect for candidates with a strong background in Python programming and data validation. Experience in data processing, data quality checks, and working with large datasets is highly valued. Ideal candidates will have a passion for ensuring data accuracy and consistency.
Why This Job is a Good Opportunity
ulliOpportunity to work in an exciting field of data validation and quality assurance.liPotential for hands-on experience with large datasets, enhancing skills and expertise.liCollaboration with internal teams to improve processes and address data-related queries.liFlexibility in shift timings offering a good balance between work and personal life.
Interview Preparation Tips
- Prepare examples of projects where you have used Python for data validation and cleansing.
- Be ready to discuss your experience with NumPy and Pandas libraries.
- Discuss specific instances where you identified and resolved data discrepancies.
- Highlight your ability to work under pressure and manage multiple tasks simultaneously.
Career Growth in This Role
pThis role provides a strong foundation for career advancement into more specialized positions such as Data Analyst, Data Scientist, or Data Quality Manager. The skills developed can also be applied in various industries like finance, healthcare, and market research.pWith experience, you can take on leadership roles overseeing larger projects and teams, contributing to the strategic decision-making processes of your organization.
Explore More Opportunities
Skills
Frequently Asked Questions
What are the required qualifications?A bachelor's degree in Computer Science, Statistics, Mathematics, Data Science or related field with 1-2 years of experience.
Is any prior experience preferred?Prior experience handling large datasets and performing data validation tasks is preferred.
What are the working hours?Rotational shifts as per company schedule.
