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Job Summary:
We are looking for an experienced and detail-oriented Data Engineer to build, manage, and optimize data pipelines and datasets. The ideal candidate should have strong expertise in MS Excel, solid knowledge of Python, and hands-on experience in data cleaning, transformation, and handling large datasets. This role will support business and analytics teams by delivering reliable and high-quality data.
Key Responsibilities:
· Design and maintain data pipelines and workflows.
· 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.
Required Skills:
· 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.
Good to Have:
· 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.
Job ID: 148541033
Skills:
Linux, Xml, Sql, UNIX, Python
Skills:
Power Bi, SAS, Tableau, Excel, Python, Sql, R
Skills:
Web Scraping, Power Bi, MySQL, Tableau, Excel, Api Integration, Python, Sql, CRM platforms, Marketing Analytics, data automation
Skills:
Excel, Data Management, Data Handling
Skills:
Unix, SAP, FTP, Mft, Python, Sql, Cloud Platforms, Microsoft Office Suite
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