Data Engineer - SQL / Oracle

Responsibilities: Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools. Build scalable and efficient data pipelines for data ingestion, transformation, and loading. Extract data from multiple sources and integrate it into enterprise data warehouses and data lakes. Develop data transformation logic and workflows to support business requirements. Write and optimize complex SQL queries, stored procedures, and database scripts. Utilize Python for data processing, automation, and data engineering tasks. Perform data validation, cleansing, and quality checks to ensure data accuracy and consistency. Troubleshoot and resolve ETL job failures, performance bottlenecks, and data issues. Collaborate with business analysts, data architects, and stakeholders to understand data requirements. Participate in code reviews, testing, deployment, and production support activities. Ensure adherence to data governance, security, and compliance standards. Eligibility :6+ years of experience in Data Engineering and ETL Development Strong hands-on experience with Talend Data Integration (DI )Expertise in ETL/ELT concepts and data integration methodologiesStrong programming skills in Pytho nAdvanced knowledge of SQ L and database developmentExperience with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, or SnowflakeStrong understanding of data warehousing concepts and dimensional modelingExperience handling large-scale data processing and complex transformationsKnowledge of data quality, data validation, and performance tuning techniques Responsibilities: Design, develop, and maintain ETL/ELT processes using Talend and other data integration tools. Build scalable and efficient data pipelines for data ingestion, transformation, and loading. Extract data from multiple sources and integrate it into enterprise data warehouses and data lakes. Develop data transformation logic and workflows to support business requirements. Write and optimize complex SQL queries, stored procedures, and database scripts. Utilize Python for data processing, automation, and data engineering tasks. Perform data validation, cleansing, and quality checks to ensure data accuracy and consistency. Troubleshoot and resolve ETL job failures, performance bottlenecks, and data issues. Collaborate with business analysts, data architects, and stakeholders to understand data requirements. Participate in code reviews, testing, deployment, and production support activities. Ensure adherence to data governance, security, and compliance standards. Eligibility :6+ years of experience in Data Engineering and ETL Development Strong hands-on experience with Talend Data Integration (DI )Expertise in ETL/ELT concepts and data integration methodologiesStrong programming skills in Pytho nAdvanced knowledge of SQ L and database developmentExperience with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, or SnowflakeStrong understanding of data warehousing concepts and dimensional modelingExperience handling large-scale data processing and complex transformationsKnowledge of data quality, data validation, and performance tuning techniques