Description

You will design, build, and maintain scalable data management systems.

This role is on-site.

Responsibilities

• Develop and optimize ETL/ELT pipelines using PySpark and Databricks to process large datasets.
• Utilize AWS services to manage data storage, computation, and orchestration.
• Analyze complex datasets to identify trends in customer behavior, network performance, and usage.
• Create insightful reports and dashboards in Tableau or Power BI for technical and non-technical audiences.
• Ensure data accuracy and completeness by implementing data quality checks across all platforms.

Required Skills

• 5+ years of experience in data engineering or data analyst roles.
• Expert proficiency in Python and SQL.
• Hands-on experience with PySpark for big data processing.
• In-depth knowledge of the Databricks platform.
• Strong experience with AWS cloud services (S3, EC2, Redshift, EMR).
• Demonstrated expertise in data visualization using Tableau or Power BI.
• Experience working with large-scale data ecosystems.

Key Skills

Education

Any Graduate