- Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services. - Develop and manage workflows using Glue, Lambda, and Step Functions. - Build event-driven integrations using SNS, SQS, and related AWS
Key Responsibilities Define analytics strategy, KPI frameworks, and data product standards across teams. Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena. Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities. Establish
- Sr Dev - AWS Data Engineer with 12+ years of software development experience - Architect and implement scalable batch and near-real-time data pipelines using Python, PySpark, Glue, EMR, Lambda, and Step Functions. Define data storage, transformation, and access
Lead design and governance of core KPIs, metric definitions, and semantic layers. Deliver complex analytical work using advanced SQL, including performance tuning on RDS/Oracle/Redshift and cost-conscious querying in Athena. Use Python to create reproducible analysis (pandas,
Jr Dev - AWS Data Engineer We are seeking a Jr Dev - AWS Data Engineer with 0-4 years of software development experience to support the design, development, and maintenance of cloud-based data pipelines and ETL solutions on AWS.
- Mid Level Dev AWS Data Engineer with 4-8 years of software development experience Build and maintain ETL pipelines using Python and PySpark on AWS Glue and related platforms. - Orchestrate workflows using AWS Step Functions and
Data Analyst (3-5 years) Role Summary We are seeking a Data Analyst to turn data into insights by building dashboards, defining metrics, and conducting analyses on AWS-based datasets. You will work primarily with SQL on Redshift/Athena, Python for analysis
Dev - AWS Data EngineerRole Summary We are seeking a Dev - AWS Data Engineer with 8-12 years of software development experience, a solid IT background, and experience as an application developer on projects of similar scope and
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Required Qualifications Bachelors degree in Computer Science, Engineering, Information Systems, or a related field; equivalent practical experience may be considered. 5 years of experience developing and supporting data integration, ETLELT, or data engineering solutions. Demonstrated experience processing large
Ingeniero de Datos Big Data Jr Habilidades Requeridas: Experiencia sólida en desarrollo con Python. Experiencia en procesamiento distribuido con PySpark. Desarrollo y mantenimiento de procesos ETL. Conocimientos de arquitecturas y ecosistemas Big Data. Manejo de sistemas de control de versiones
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Description At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of
Analytics Engineer – Data Engineering & Power BI We are looking for a hands-on Analytics Engineer who can work across both data engineering and analytics/reporting. This is not a Power BI-only role. Key Responsibilities Build, maintain, and enhance
The Data Engineering Lead is responsible for the technical leadership, engineering delivery, and quality of the Data Foundation platform. This role leads the team responsible for building and maintaining enterprise data pipelines, data products, canonical data models, and data services that enable
Role Summary The Data Engineer is responsible for designing, developing, testing, and supporting the Data Foundation platforms data pipelines, data products, and data services. This role works closely with the Data Engineering Lead, Architecture Team, Service Owner, Platform Engineering Lead, and business
Ingeniero Big Data Habilidades Requeridas: Experiencia sólida en Python, PySpark, PySpark SQL y SQL. Conocimiento y experiencia en procesos ETL y procesamiento de grandes volúmenes de datos. Experiencia trabajando con entornos Cloudera. Manejo de herramientas de control de
Fecha límite para apuntarse:2026-08-10 ¿Quieres desarrollar tu carrera profesional? BBVA es una empresa global con más de 160 años de historia que opera en más de 25 países en los que damos servicio a más de
Capgemini Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world,