Talend+ Data Engineer

As a Data Engineer specializing in ETL development, your role will involve designing, developing, and maintaining ETL/ELT processes using Talend and other data integration tools. You will be responsible for building scalable data pipelines for data ingestion, transformation, and loading from multiple sources into enterprise data warehouses and data lakes. Your key responsibilities will include: - Developing data transformation logic and workflows to meet specific business requirements. - Writing and optimizing complex SQL queries, stored procedures, and database scripts. - Utilizing Python for data processing, automation, and data engineering tasks. - Performing data validation, cleansing, and quality checks to ensure data accuracy and consistency. - Troubleshooting and resolving ETL job failures, performance bottlenecks, and data issues. - Collaborating with business analysts, data architects, and stakeholders to understand data requirements. - Participating in code reviews, testing, deployment, and production support activities. - Ensuring adherence to data governance, security, and compliance standards. Qualifications required for this role include: - 6+ years of experience in Data Engineering and ETL Development. - Robust hands-on experience with Talend Data Integration (DI). - Expertise in ETL/ELT concepts and data integration methodologies. - Solid programming skills in Python. - Advanced knowledge of SQL and database development. - Experience with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, or Snowflake. - Strong understanding of data warehousing concepts and dimensional modeling. - Experience handling large-scale data processing and complex transformations. - Knowledge of data quality, data validation, and performance tuning techniques. This position offers you the opportunity to work on challenging projects that involve designing and implementing data solutions to drive business success. As a Data Engineer specializing in ETL development, your role will involve designing, developing, and maintaining ETL/ELT processes using Talend and other data integration tools. You will be responsible for building scalable data pipelines for data ingestion, transformation, and loading from multiple sources into enterprise data warehouses and data lakes. Your key responsibilities will include: - Developing data transformation logic and workflows to meet specific business requirements. - Writing and optimizing complex SQL queries, stored procedures, and database scripts. - Utilizing Python for data processing, automation, and data engineering tasks. - Performing data validation, cleansing, and quality checks to ensure data accuracy and consistency. - Troubleshooting and resolving ETL job failures, performance bottlenecks, and data issues. - Collaborating with business analysts, data architects, and stakeholders to understand data requirements. - Participating in code reviews, testing, deployment, and production support activities. - Ensuring adherence to data governance, security, and compliance standards. Qualifications required for this role include: - 6+ years of experience in Data Engineering and ETL Development. - Robust hands-on experience with Talend Data Integration (DI). - Expertise in ETL/ELT concepts and data integration methodologies. - Solid programming skills in Python. - Advanced knowledge of SQL and database development. - Experience with relational databases such as Oracle, SQL Server, PostgreSQL, MySQL, or Snowflake. - Strong understanding of data warehousing concepts and dimensional modeling. - Experience handling large-scale data processing and complex transformations. - Knowledge of data quality, data validation, and performance tuning techniques. This position offers you the opportunity to work on challenging projects that involve designing and implementing data solutions to drive business success.