Experience: 3–5 Years
Job Type: Full-Time
We are looking for a skilled Senior Data Engineer / Data Scientist with 3–5 years of hands-on experience in Python, ETL pipeline development, statistical analysis, and data optimization. The ideal candidate should be comfortable working with large datasets, building reliable data pipelines, performing statistical analysis, and translating data into meaningful insights.
- Design, develop, and maintain robust and scalable ETL pipelines for data extraction, transformation, and loading.
- Develop efficient data processing and transformation workflows using Python.
- Perform statistical analysis on structured and unstructured datasets to identify trends, patterns, and business insights.
- Optimize data pipelines, queries, and data processing workflows for improved performance and scalability.
- Clean, validate, transform, and prepare data for analytics and reporting.
- Work with cross-functional teams to understand data requirements and deliver reliable data solutions.
- Identify data quality issues and implement appropriate validation and cleansing processes.
- Develop reusable and maintainable Python scripts and data processing solutions.
- Troubleshoot pipeline failures and resolve data-related issues.
- Document data workflows, pipelines, processes, and technical solutions.
- Ensure data solutions follow best practices for performance, reliability, and maintainability.
- 3–5 years of relevant experience in Data Engineering, Data Science, Analytics Engineering, or a similar role.
- Strong hands-on experience with Python.
- Strong experience in ETL pipeline development and data transformation.
- Solid understanding of statistical analysis and statistical concepts.
- Experience with data optimization, including query and pipeline performance optimization.
- Strong SQL skills and experience working with relational databases.
- Experience working with large datasets and data processing workflows.
- Strong analytical and problem-solving skills.
- Ability to work independently as well as collaborate effectively with technical and business teams.
- SAS experience is highly preferred.
- Experience with SAS programming, SAS data processing, or SAS analytics.
- Exposure to cloud data platforms such as AWS, Azure, or GCP.
- Experience with data visualization and reporting tools.
- Knowledge of data warehousing and database concepts.
- Familiarity with modern data engineering tools and frameworks.
Skills Required
- 3-5 years relevant experience in Data Engineering, Data Science, or Analytics Engineering
- Strong hands-on experience with Python
- Strong SQL skills and experience with relational databases
- Experience in ETL pipeline development and data transformation
- Solid understanding of statistical analysis and concepts
- Experience with data optimization including query and pipeline performance tuning
- Experience working with large datasets and data processing workflows
- Strong analytical and problem-solving skills
- Ability to work independently and collaborate with technical and business teams
- Ability to clean, validate, transform, and prepare data for analytics and reporting
- Experience documenting data workflows, pipelines, processes, and technical solutions
- SAS experience (SAS programming, data processing, analytics)
- Exposure to cloud data platforms (AWS, Azure, or GCP)
- Experience with data visualization and reporting tools
- Knowledge of data warehousing and database concepts
- Familiarity with modern data engineering tools and frameworks
What We Do
NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.
