Chief Data Systems Architect

2 days ago

Nashik, Maharashtra, India beBeeDataInfrastructure Full time ₹ 15,00,000 - ₹ 20,00,000
Job Title:

Lead Data Infrastructure Specialist

Key Responsibilities:
  • Data Architecture & Scalability
    • Design and implement scalable data storage strategies.
    • Evaluate and optimize complex data structures for multiple core applications.
  • Performance Tuning & Optimization
    • Analyze and resolve performance issues in PostgreSQL, MSSQL, and Snowflake environments.
    • Refactor inefficient queries and recommend index strategies or schema redesigns.
  • Database Administration
    • Ensure high availability, backups, and disaster recovery across database platforms.
    • Monitor and manage database health, security, and compliance.
  • 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.
  • 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
  • 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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