Senior Data Engineer

We are looking for an experienced Senior Data Engineer with 5-7 years of hands-on experience in ETL, Reverse ETL, data integration, and cloud-based data platforms. The ideal candidate will have strong SQL skills and practical experience working with AWS data services, data lakes, and data warehouses.

• 5-7 years of experience in Data Engineering. \n

• Minimum 5 years of hands-on experience with ETL and Reverse ETL processes. \n

• Experience working with Fivetran and data connectors. \n

• Strong hands-on experience with AWS cloud services. \n

• Experience building and managing data lakes. \n

• Experience with data warehousing concepts and solutions. \n

• Strong SQL knowledge, including complex queries and query optimization.

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• Design, develop, and maintain scalable ETL and Reverse ETL pipelines. \n

• Build and manage data integrations using Fivetran and other data connectors. \n

• Develop and optimize data pipelines for data extraction, transformation, and loading. \n

• Work with AWS services to support data engineering and integration solutions. \n

• Design, manage, and optimize data lakes and data warehousing solutions. \n

• Develop complex SQL queries for data transformation, analysis, and performance optimization. \n

• Work with AWS Redshift, AWS RDS, and AWS Glue. \n

• Ensure data quality, reliability, and consistency across data pipelines. \n

• Collaborate with analytics, business intelligence, and engineering teams to support data initiatives. \n

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