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Senior Data Engineer working on-site in Guadalajara, designing and maintaining Talend-based ETL/ELT pipelines, integrating data from multiple sources, and supporting production data solutions with DevOps practices.
Lead Data Engineer role in Guadalajara building scalable data platforms and ETL/ELT pipelines using Python, Spark, SQL, and Databricks, combining hands-on engineering with technical leadership, mentoring, and architecture decisions.
Build and maintain ETL/ELT data pipelines on AWS (S3, Redshift, QuickSight) using Python, PySpark, SQL, and tools like Talend, Power BI, Pentaho, SSIS, and Azure Data Factory.
Data Engineer working on data analysis, visualization, and building scalable data pipelines using Talend and BI tools; develops complex SQL queries and translates business needs into robust data solutions.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data platforms to support business intelligence and machine learning initiatives. The role requires proficiency in SQL, Python, and ETL tools to ensure data integrity and system performance.
The Data Engineer will design and build data warehouses, ETL processes, and reporting layers while ensuring data quality. The role requires strong SQL/RDBMS skills and experience with ETL tools like Talend, Informatica, or SSIS.
Data Engineer designing and building ETL/ELT pipelines and a corporate data warehouse, extracting and consolidating data from SAP ECC6 (HANA 2) and Epicor Kinetic (SQL Server 2019) for BI reporting.
The Data Engineer will be the first data-focused hire for a large industrial group in the beauty and luxury sector, responsible for building and maintaining ETL pipelines, data warehouses, and data applications. The role involves working with Python, SQL, and Azure cloud technologies to support the company's digital transformation.
The Data Engineer designs and maintains data warehouses, data models, and ETL processes to support business intelligence initiatives. The role involves translating business requirements into technical solutions using SQL, RDBMS, and various ETL tools.
Lead Data Engineer building scalable, cloud-native data platforms and ETL/ELT pipelines on big data ecosystems like Databricks, Spark, and Hadoop for a global IT services provider.
Expert Talend engineer responsible for the Talend Data Fabric 8 integration platform (ETL, ESB, API) at Groupe EVEN's LAITA pole—defining architectures, managing incidents, leading developments, and migrating existing flows.
Description du poste Nous recherchons un.e Data Integration Engineer pour rejoindre le Département DATA (Direction des Systèmes d’Information) de notre client pour une durée de 12 mois (renouvelable). Démarrage :…
ETL/ELT consultant for a strategic decision-support system, focused on analyzing requirements, modeling, and populating datamarts using Semarchy xDI and SQL.
Builds and maintains data integration pipelines using Talend and Oracle to ensure reliable, high-performance data processing for actuarial and business intelligence systems.
Senior Data Engineer responsible for developing and evolving Data platforms, building Talend-based ETL pipelines, optimizing SQL for a Data Warehouse and Actuarial base, and ensuring data quality — on-site in Paris.
Builds and maintains data pipelines, warehouses, and lakes; designs data architectures; ensures data quality and reliability for business use cases using Python, SQL, and cloud platforms.
Builds and maintains ETL pipelines and Oracle database solutions for a UK government data exploitation program, using Talend and SQL. Focuses on data integration, CI/CD improvements, testing, and mentoring junior engineers in a hybrid Agile team.
Data Engineer building and maintaining scalable data pipelines and ETL processes using SQL, MongoDB, Python, Kafka, Spark, and dbt for a financial/insurance/banking client in Jakarta, full on-site.
Lead a data engineering team to design, build, and maintain scalable ETL/ELT pipelines and data warehouses for a top Indonesian bank.
Role Summary: As a Data Scientist, you will act as a key link between business stakeholders and technical teams, supporting operational, product, and strategic decision-making through data analysis, reporting, and…
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