Description

You will design, build, and maintain scalable data pipelines and analytical solutions to support business decision-making.

Responsibilities

• Design, develop, and deploy ETL pipelines to extract and load structured and unstructured data from diverse sources.
• Implement data processing workflows using Spark and PySpark to ensure scalability and reliability.
• Design and implement data models and schemas to support analytical requirements and facilitate integration.
• Develop interactive dashboards and reports in Tableau to visualize KPIs and trends.
• Monitor and optimize the performance of data processing workflows and analytical queries.

Required Skills

• 5+ years of experience in data engineering or analytics roles.
• Strong proficiency in Spark and PySpark for distributed data processing.
• Expertise in SQL and SQL query optimization.
• Experience with Tableau for data visualization and reporting.
• Proficiency in Python, Scala, or Java for data manipulation.
• Experience using cloud platforms such as AWS or Azure.
• Solid understanding of relational databases and DBMS.
• Bachelor's degree in computer science, engineering, mathematics, or a related field.

Preferred Skills

• Master's degree in a quantitative field.
• Experience with Google Cloud Platform (GCP).

Key Skills

Education

Bachelor's degree