Description

You will develop software features and manage data pipelines to ensure high performance and quality standards.

Responsibilities

• Clean and preprocess raw data from APIs, logs, databases, and spreadsheets.
• Transform, aggregate, and normalize data into usable formats for analysis.
• Perform data profiling to identify patterns, anomalies, outliers, and inconsistencies.
• Automate repetitive data cleaning processes using scripts and batch processing techniques.
• Validate data integrity by detecting duplicates, missing values, and misclassifications.

Required Skills

• 5+ years of experience in data engineering or development.
• Proficiency in Python, R, and SQL.
• Experience with data cleaning, imputation, and normalization techniques.
• Hands-on work with structured data formats including CSV, XML, and Excel.
• Ability to use Excel functions, filters, and pivot tables for data manipulation.
• Strong understanding of basic statistical concepts to identify trends and anomalies.
• Experience with automation and scripting for workflow efficiency.

Preferred Skills

• Experience with data visualization using Power BI.

Key Skills

Education

Any Graduate