Posted on: 11/12/2025
Description :
- Perform data cleaning, transformation, and validation of large datasets.
- Create advanced reports using MS Excel (Pivot Tables, VLOOKUP, XLOOKUP, Power Query).
- Write and maintain Python scripts for data automation and processing.
- Optimize data storage and retrieval processes.
- Ensure data accuracy, consistency, and integrity across multiple sources.
- Collaborate with business analysts and stakeholders to understand data requirements.
- Support ETL and data warehousing processes.
Requirements :
- Strong experience in MS Excel (advanced formulas, Pivot Tables, Power Query).
- Strong knowledge of Python (Pandas, NumPy, data manipulation).
- Hands-on experience with data handling, transformation, and cleaning.
- Good knowledge of SQL (writing complex queries, joins, indexing).
- Experience working with large datasets and structured/unstructured data.
- Familiarity with ETL tools/processes.
- Experience with cloud platforms like AWS / Azure / GCP.
- Familiarity with data visualization tools like Power BI, Tableau.
- Knowledge of Apache Spark or similar big data tools.
- Experience with version control tools like Git.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1588649
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