Job Requirements

10+ years of experience working with Data in any Analyst based role.

Ability to analyse Data in relational, non-relational and file (flat files, hierarchical formats, compressed storage formats) based data stores.

Design and implement data processing pipelines using Python and Spark.

Strong programming experience in the following technologies: Python, Spark and SQL (preferably Big Query)

Experience with data processing platforms and cloud environments like AWS or GCP(preferably)

Experience with XML and JSON data structures.

Understanding of ETL processes and their impact on data quality.

Experience with Scripting to enable automation of Data collection, data transformation, and data loading.

Experience with Analysing structured and unstructured data.

Write efficient and scalable code to clean, transform, and analyse data.

Optimize data processing workflows for performance and scalability.

Develop and maintain detailed technical documentation.





Conduct code reviews and ensure coding standards are met.

Troubleshoot and resolve data processing issues promptly.

Work seamlessly with cross-functional teams to deliver data-driven insights.

Solid application deployment experience on Google App Engine/ Google Compute Engine. Databases: Oracle, MySQL, SQL server

Application Server: JBoss, Apache Tomcat

Should have strong client handling experience.

Should have technical experience developing applications using the skill set mentioned above.

Should be capable of doing an impact analysis on applications when need arises.

Passionate and curious about Data with strong commitment to producing quality deliverables

Experience collaborating across time zone as part of a global team

Work Experience

10-15Years

📌 Architect (Bengaluru)
🏢 Virtusa
📍 Bengaluru