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DBA Architect

ConfidentialBengaluru / Bangalore, India

9 days ago

Job description

Years Of Experience

7–12 years of experience in database development, administration, or architecture, with

at least 3+ years in a database architect role.

Key Responsibilities

Design and implement database solutions that support business applications and analytical systems.
Develop logical and physical data models, ensuring data integrity and scalability.
Define database standards, best practices, and guidelines for development and maintenance.
Optimize database performance through indexing, partitioning, and query optimization techniques.
Collaborate with application developers and data engineers to integrate databases with applications and ETL pipelines.
Ensure data security, backup, disaster recovery, and compliance with relevant regulations.

Job Description

Evaluate and recommend new database technologies, cloud database services, and tools to improve efficiency.

Monitor database health, troubleshoot issues, and provide solutions to ensure high availability.

Document database designs, processes, and architecture diagrams for reference and training.

Required Skills & Qualifications

Strong expertise in SQL and NoSQL databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra).

Experience with cloud -based databases (AWS RDS, Azure SQL, Google Cloud Spanner).

Proficiency in database design, normalization, and data modeling tools (ERwin, Lucidchart, etc.).

Knowledge of ETL processes, data warehousing, and big data technologies (Hadoop, Spark).

Hands -on experience with database security, backup, and disaster recovery strategies.

Strong problem -solving and analytical skills.

Excellent communication and documentation abilities.

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

RH- 5966

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Skills Required

Database Design, Erwin, Hadoop, Cassandra, Postgresql, Sql Server, Big Data Technologies, Data Warehousing, Database Security, Azure Sql, Aws Rds, Mysql, Spark, Normalization, Mongodb, Oracle

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