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Principal Database Engineer- Architecture/Engineering

Solera
Hyderabad, IND
Full-time
Senior · 8+ years experience
Onsite
Discovered 3 weeks ago
awsaws-lambdaazureazure-functionsdatadog

Full Job Posting

Responsibilities:

  • Database Architecture and Design:
  • Design, implement, and maintain database architectures for OLTP and analytics workloads
  • Develop data models, database designs, and data flow diagrams
  • Collaborate with application teams to ensure database designs meet business requirements
  • Establish and enforce database design standards and best practices
  • Performance Tuning and Optimization:
  • Analyze and optimize database performance using various tools and techniques (e.g., query optimization, indexing strategies, database parameter configuration)
  • Identify and resolve performance bottlenecks and issues in RDBMS (MSSQL, Oracle,Postgres,MySQL), NOSQL (MongoDB,CosmosDB) and DW solutions
  • Develop and implement performance monitoring and alerting solutions
  • Coding Standards and Best Practices:
  • Develop and enforce coding standards for T-SQL, PL/SQL, MySQL, Postgres, and NoSQL databases
  • Collaborate with development teams to ensure coding standards are met
  • Collaboration and Communication:
  • Collaborate with cross-functional teams (e.g., Operations, application development, data science, IT operations)
  • Communicate technical concepts and ideas to non-technical stakeholders
  • Participate in industry events and conferences to stay current with industry trends and best practices
  • Data Warehousing and Big Data:
  • Design, implement, and maintain data warehouse solutions (e.g., Google Snowflake, AWS Redshift, Azure Synapse Analytics)
  • Develop and implement data lake solutions (e.g., Hadoop, AWS S3, Azure Data Lake)
  • Integrate with big data technologies (e.g., Spark, Hadoop)
  • NoSQL and Emerging Technologies:
  • Design for optimization, architect partition scheme for scalability, implement, and maintain NoSQL database solutions (e.g., MongoDB, Cosmos DB, Cassandra)
  • Evaluate and implement emerging technologies (e.g., graph databases, time-series databases)
  • Architect Cloud and Hybrid Database Solutions:
  • Design, implement cloud-based database solutions (e.g., AWS RDS, Azure SQL Database, Google Cloud SQL)
  • Leverage cloud-native features and services (e.g., AWS DMS, Azure Data Factory)
  • Design and implement hybrid database solutions (e.g., on-premises to cloud, cloud to cloud)

Requirements:

  • 8+ years of experience in database architecture and design
  • Strong performance tuning and optimization skills
  • Proficiency in multiple database platforms (relational, NoSQL, cloud-based)
  • Experience with data warehousing, big data, and emerging technologies
  • Strong communication and collaboration skills
  • Relevant certifications (e.g., Microsoft Certified: Azure Database Administrator, Oracle Certified Professional)
  • Experience with Agile methodologies and DevOps practices
  • Bachelor's degree in Computer Science or related field
  • Experience with ML models, AI, and LLM models
  • Experience with cloud-native services (e.g., AWS Lambda, Azure Functions)
  • Experience with monitoring tools (e.g., Datadog)

Nice to Have:

  • Experience with ML models, AI, and LLM models
  • Experience with cloud-native services (e.g., AWS Lambda, Azure Functions)
  • Experience with monitoring tools (e.g., Datadog)

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