Virtusa

ETL Developer

Posted On

July 13, 2024

Location

Bangalore, Karnataka

Experience Level

Full Time

Job Type

Experienced

Apply By

Sept. 30, 2024

Job Description

ETL Developer

Below are the skillsets required:
Experience 3-5 years
Must have skills ETL, SQL, Tableau/Power BI
Notice Period 15 days
Experience n Education
Undergraduate or higher degree in Computer Science, Engineering, or relevant field.
Proficiency in SQL and database management systems e.g., MySQL, Oracle, SQL Server.
Familiarity with data extraction, transformation, and loadingETL processes.
Experience with at least one business intelligence or data visualization tool e.g. Sisense BI, Power BI, QlikView
Knowledge of data modeling concepts.
Knowledge of data visualization principles and techniques.
AWS Cloud experience.
Aptitude for problem-solving and troubleshooting data-related issues.
Ability to work with cross-functional teams and strong communication skills.
Exposure to data analysis and interpretation.
Ability to work independently as well as part of a team in a fast-paced, dynamic environment.
Knowledge or desire to learn programming languages Python, JavaScript for data manipulation and analysis.
Proactive and self-motivated with a continuous learning mindset.

Role Description

Extract data from various sources and assist in answering questions and making informed decisions using data.
Design and develop data models that facilitate efficient storage and retrieval of information, insuring data accuracy, integrity, and performance.
Design and Develop dashboards, reports, and visualizations using BI tools like Power BI, Sisense or QlikView to enable data-driven decisions.
Identify and resolve data-related issues, such as missing or incorrect data, and address any system performance concerns.
Monitor and maintain the performance, availability, and security of the BI solutions.
Collaborate with business stakeholders to understand their reporting and analytical needs, and translate requirements into technical specifications.
Document data models, ETL processes, and other technical work to ensure knowledge transfer and maintain data integrity.
Troubleshoot and fix issues in production and non-production environments.

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