Description

You will build and maintain ETL pipelines to transform raw data into usable formats for analysis.

This role is hybrid.

Responsibilities

• Transform raw data through reshaping, aggregating, and normalizing datasets.
• Clean and preprocess data using Python, SQL, and Excel to resolve quality issues.
• Execute data profiling to identify patterns, anomalies, duplicates, and missing values.
• Ensure data integrity and consistency across APIs, logs, and databases.

Required Skills

• 5+ years of experience in data engineering and ETL development.
• Proficiency with ETL tools such as IICS, Talend, or Hadoop.
• Strong SQL, PL/SQL, and Oracle database skills.
• Hands-on experience with PySpark and Shell scripting.
• Experience with Azure environments and basic understanding of GCP and AWS.
• Ability to clean and preprocess data using Python and Excel.
• Experience with Power BI for data visualization.
• Proficiency using JIRA, Confluence, and MS Visio.

Preferred Skills

• Knowledge of R programming.

Key Skills

Education

Any Gradute