Experience Required: 8–10 Years

Role Overview

We are looking for a Data Engineer with strong Python and SQL expertise to build reliable data pipelines that transform semi-structured data from Elasticsearch (ES) URLs into clean, analytics-ready datasets.

You will work in a local environment using Python, DBeaver, SQLite/Postgres/Dremio, establish database connections, flatten JSON/Elasticsearch topics into structured tables, and enable downstream reporting in Power BI for business users.

Key Responsibilities

1. Data Ingestion & Transformation

• Fetch semi-structured data from ES URLs/APIs (e.g., JSON, Elasticsearch topics)
  

• Flatten, normalize, and model data into structured analytics tables
  

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