4.0 - 6.0 years

0 Lacs

Jaipur, Rajasthan, India

On-site

The Database Administrator (DBA) will manage and optimize databases for Project Quasars RAN Cutover, ensuring reliable storage and retrieval of data during OSS system migrations. This role supports data integrity and performance for market-by-market cutovers. Responsibilities Manage and optimize databases for OSS data migration. Ensure data integrity and performance during cutover processes. Implement database backups, recovery, and security measures. Collaborate with data engineers to support ETL pipelines. Monitor and tune database performance. Document database configurations and processes. Qualifications Bachelors degree in Computer Science, IT, or a related field. 4+ years of experience as a Database Administrator. Expertise in database systems (e.g., SQL Server, Oracle, Snowflake). Experience with ETL processes and data migrations. Strong problem-solving skills. Must be located in India and eligible to work. Preferred Skills Experience in telecommunications or OSS systems. Knowledge of Snowflake or Databricks. Familiarity with cloud-based databases. Certifications in database administration (e.g., Oracle DBA, Microsoft SQL Server). Show more Show less

Posted 2 weeks ago

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Database Developer Adani Group

2.0 - 6.0 years

4 - 15 Lacs

ahmedabad

Work from Office

Roles and Responsibilities : Design, develop, test, deploy and maintain large-scale databases using SQL on Azure Data Factory (ADF) to support business intelligence initiatives. Collaborate with cross-functional teams to identify requirements for data integration projects and implement ETL processes using Amazon Redshift or similar technologies. Develop complex queries to extract insights from massive datasets stored in NoSQL databases such as Cosmos DB or MongoDB. Troubleshoot issues related to database performance tuning, query optimization, and data quality. Job Requirements : 2-6 years of experience in designing and developing large-scale databases using SQL on cloud platforms like Azure Data Factory (ADF). Strong understanding of big data analytics concepts including Hadoop ecosystem components like Hive or Spark. Proficiency in working with various types of databases including relational databases like MySQL or PostgreSQL; NoSQL databases like Cosmos DB or MongoDB.

Posted Date not available

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