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Job Description

Key Responsibilities :


- Design, develop, and maintain ETL workflows to extract, transform, and load data from multiple sources.


- Collaborate with data engineers and analysts to optimize data pipelines for scalability and performance.


- Analyze data sets to identify patterns, trends, and insights that support business decision-making.


- Validate and test ETL processes to ensure data integrity, accuracy, and consistency.


- Troubleshoot and resolve ETL-related issues in a timely manner.


- Work closely with business teams to understand requirements and translate them into technical specifications.


- Create and maintain documentation for ETL processes, data flows, and architecture.


- Use visualization tools (Power BI, Tableau, etc.) to present insights and reporting outcomes.


Required Skills & Experience :


- 36 years of experience as a Data Analyst or ETL Developer.


- Hands-on experience with ETL tools (Informatica, Talend, SSIS, or equivalent).


- Proficiency in SQL and strong data manipulation skills.


- Experience working with data warehouses or cloud-based data platforms (Azure, AWS, GCP).


- Familiarity with Python or Shell scripting for data automation.


- Strong analytical and critical thinking skills with attention to detail.


- Excellent communication and documentation abilities.


Preferred / Nice-to-Have Skills :


- Experience in data modeling and data governance.


- Understanding of data quality frameworks and metadata management.


- Exposure to big data technologies (Spark, Hadoop, Databricks).


- Background in retail, e-commerce, or financial analytics domains.


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