Principal Database Operations Engineer

1 month ago

India Newlineinfo Corp - IT Services and IT Consulting Full time

Responsibilities:

  • Design, implement, and maintain databases.
  • Optimize database performance, ensuring efficient data retrieval and storage.
  • Implement security measures to protect sensitive data.
  • Monitor and manage access controls.
  • Ensure data integrity through backups, replication, and disaster recovery planning.
  • Monitor database health, identifying and resolving issues promptly.
  • Investigate and troubleshoot performance bottlenecks, errors, and anomalies
  • Regularly backup databases to prevent data loss.
  • Develop and test recovery procedures.
  • Design and maintain database schemas.
  • Normalize data structures for efficient storage and retrieval.
  • Optimize SQL queries for better performance.
  • Create and manage indexes.
  • Work closely with product managers, data scientists, data analysts, and engineers to define features and requirements for our Data Platform.
  • Provide valuable insights and contribute to the design, development and architecture of data solutions.
  • Estimate future data growth and plan for scalability.
  • Allocate resources appropriately.
  • Maintain comprehensive documentation for databases, schemas, and processes.
  • Continuously monitor and fine-tune database performance.
  • Optimize resource utilization.
  • Plan and execute database migrations and upgrades.
  • Minimize downtime during transitions.


Skills & Qualifications:

  • 12+ years of professional experience as DBA in any two of the databases/data warehouses such as Redshift, mySQL, PostgresQL, Snowflake, Big Query, Databricks, etc., using cloud services AWS and GCP.
  • Extensive experience interpreting and debugging application data flow and data pipelines using technologies such as GoLang, Python, Databricks, pySpark, and Kafka.
  • Proficiency in handling large-scale data sets.
  • Experience building and maintaining Databases that supports multiple engineering teams and processes applications data and big data.
  • Ability to quickly grasp complex data domains and learn new technologies.
  • Innately curious and organized, with a drive to analyze data, identify deliverables, anomalies, and gaps, and propose effective solutions.
  • Proven experience designing data models that have been successfully implemented in production.
  • Strong expertise in writing complex SQL queries and database monitoring/alerting automation.
  • Strong expertise in analyzing SQL performance and optimization.
  • Experience planning and implementing disaster recovery of the critical databases.
  • Experience in owning the cost management for the cloud database services such as Redshift, RDS, Databricks and etc.,.
  • Familiarity with AWS services such as Redshift, RDS, EKS, S3, EMR, Glue, and Lambda.


Good To Have:

  • Experience contributing to full lifecycle deployments with a focus on testing and quality.
  • Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement.
  • DBA certifications.
  • Experience using GitHub, Docker, Terraform, CodeFresh, and Jira.

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