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Posted on 25 Jun, 2026
In Office
Job Description | Responsibilities
- Build scalable real-time and batch processing workflows using Azure Databricks, PySpark, and Apache Spark.
- Perform data pre-processing, including cleaning, transformation, deduplication, normalization, encoding, and scaling to ensure high-quality input for downstream analytics.
- Design and maintain cloud-based data architectures, including data lakes, lakehouses, and warehouses, following Medallion Architecture.
Overview
- Industry - IT - Software / Product Development
- Job Role - Data Analyst, Senior Data Engineer, Data Engineer
- Employment type - Full Time
- Work Mode - In Office
Qualifications
- Any Graduate - Any Specialization
- Any Post Graduate - Any Specialization
- Any Doctorate - Any Specialization
Job Related Keywords
Senior Data Engineer
Data Engineer
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Apache Spark
Python
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