Data Engineer

20 hours ago

Mumbai, Maharashtra, India Arohanam Tech LLP Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Data Engineer - Job Discussion Summary
Data Integration

  • Sources/Targets:
    SQL Server, Azure Data Lake Storage (ADLS), APIs, PostgreSQL.
  • Focus:
    Secure and scalable integration approaches.
  • Security:
    Emphasis on using secure connections and credentials (e.g., Azure Key Vault, managed identities).

Azure Services and Architecture

  • Data Ingestion & Orchestration:
  • Industry best practices discussed for ingestion, transformation, and orchestration.
  • Tools mentioned:
    Azure Data Factory (ADF)
    ,
    Azure Synapse
    ,
    Azure Databricks
    .
  • Azure Databricks Configuration:
  • Cluster sizing and choosing appropriate VM SKUs.
  • Cost optimization via autoscaling and job clusters.

Security & Governance

  • Azure Unity Catalog:
  • Centralized data governance, access control, and cataloging of assets.
  • Security Measures:
  • Role-Based Access Control (RBAC)
  • Azure Key Vault for secrets management
  • Private Endpoints for securing network traffic

Analytics & Reporting

  • Front-End Tools:
    Integration with
    Power BI
    for data consumption.
  • Data Connectivity:
    Best practices for connecting datasets securely and efficiently.

Data Architecture & Quality

  • Data Modeling Concepts:
  • Use of Bronze–Silver–Gold
    layered architecture for data refinement.
  • Data Quality:
    Ensuring validation, monitoring, and consistency across layers.

Development Lifecycle & CI/CD

  • Environment Strategy:
  • Dev/Test/Prod separation for robust lifecycle management.
  • Version Control:
    Integration with
    Git
    for source control.
  • CI/CD Pipelines:
    Automating deployment with tools like
    Azure DevOps
    or
    GitHub Actions
    .

Best Practices Emphasized

  • Cloud-native development
  • Scalable and cost-efficient architecture
  • Secure data handling and governance
  • Automation and DevOps in data engineering workflows

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