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.(ref : hirist.tech)