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HARP Technologies & Services Pvt Ltd Logo
Data Architecture
Posted On: 1 day ago
Experience: 10+ years
Availability: Hybrid
Openings: 1
Category: Data Architecture
Tenure: No Preference/Any
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Description

Job Description

1. Data Source Understanding

  • Ability to read and interpret source documentation.
  • Understand data format structure and access methods.
  • Assess feasibility of data ingestion from given sources.

2. API Testing Validation

  • Strong understanding of REST APIs GET, POST, authentication methods.
  • Hands-on experience with Postman or similar tools.
  • Ability to:
    • Test API endpoints.
    • Validate responses against documentation.
    • Handle authentication (API key, OAuth, etc.).
    • Identify issues in API accessibility or data mismatches.

3. SFTP File-Based Sources

  • Understanding of SFTP concepts: host, port, credentials.
  • Ability to:
    • Connect and access SFTP servers using tools or scripts.
    • Navigate directories and locate required data files.
    • Basic scripting knowledge (Python, Shell) for access testing preferred.

4. Website Manual Source Extraction

  • Ability to navigate websites and identify relevant datasets.
  • Understand file availability patterns (daily, monthly, etc.).
  • Knowledge of:
    • Manual or automated file downloads.
    • Working with formats like CSV, Excel, PDF.

5. Basic Technical Skills

  • SQL for data validation and quick checks.
  • Basic Python for testing or automation preferred.
  • Understanding of data formats: JSON, XML, CSV, Excel, PDF.

6. Analytical Problem-Solving Skills

  • Identify gaps or inconsistencies in source documentation.
  • Ask relevant clarifications and suggest solutions.
  • Evaluate alternative ways to access data when needed.

Good to Have

  • Experience in data ingestion, ETL, Data Engineering.
  • Exposure to Azure or data pipeline frameworks.
  • Awareness of authentication security and data access controls.

Ideal Candidate Profile

  • Data Ingestion Analyst / Data Source Analyst.
  • Junior Data Engineer (source analysis focused).
  • Strong practical exposure to API, SFTP, and file-based sources

Education

Any Graduate

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