Chief Data Infrastructure Specialist

2 days ago

Varanasi, Uttar Pradesh, India beBeeDatabase Full time US$ 1,50,000 - US$ 2,00,000
Job Title: Senior Database Administrator

We are seeking a highly skilled and proactive professional to join our team in scaling our data infrastructure, diagnosing performance bottlenecks, and contributing to architectural improvements.

Key Responsibilities:
  • Data Architecture & Scalability:
    • Redesign and improve JSON blob storage strategies that have reached scalability limits.
    • Evaluate and optimize complex data structures spanning five core applications.
  • Performance Tuning & Optimization:
    • Analyze and resolve performance issues across PostgreSQL, MSSQL, and Snowflake environments.
  • Refactor inefficient queries and recommend index strategies or schema redesigns.
  • Support and tune Amazon RDS PostgreSQL deployments for high availability and performance.
  • Data Engineering Support:
    • Contribute to the design and maintenance of ETL pipelines that support Comparative data loads.
  • Collaborate with data engineering teams on pipeline orchestration, transformation, and delivery.
Database Administration:
  • Ensure high availability, backups, and disaster recovery across database platforms.
  • Monitor and manage database health, security, and compliance.
GIS/Spatial Data (Helpful):
  • Leverage experience with postGIS and/or spatialite to enhance location based features where applicable.
Technical Environment:
  • Databases: PostgreSQL (Amazon RDS), MSSQL, Snowflake
  • Data Engineering & Orchestration: Apache Spark, dbt, Airflow, SSIS
  • Cloud & Infrastructure: AWS (including Infrastructure as Code practices)
Preferred Qualifications:
  • 6+ years of experience in database administration and performance tuning.
  • Proficiency with JSON data modeling and optimization.
  • Strong SQL expertise with proven ability to refactor complex queriesHands-on .
  • experience with Amazon RDS, particularly PostgreSQL.
  • Familiarity with Apache Spark for distributed data processing.
  • Familiarity with dbt for data modeling and transformations.
  • Familiarity with Apache Airflow.
  • Familiarity with MonetDB.
  • Exposure to AWS Infrastructure as Code (IaC) using tools like CloudFormation or Terraform.
  • (Nice-to-have) Experience working with spatial data formats (postGIS/spatialite)
  • Strong collaboration skills and ability to work in a cross-functional, agile environment

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