Algotale (Wildnet)- Senior Data Engineer

Senior Data Engineer / Data Scientist

Experience

3–5 Years

Job Type

Full-Time

Job Summary

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.

Key Responsibilities

• 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.

Required Skills & Experience

• 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.

Preferred Skills

• 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.