Elaborar y liderar el plan de trabajo técnico para implementar, desplegar, capacitar y estabilizar proyectos y mejoras en GCP, con reporting en Power BI.
Diseñar arquitecturas de datos escalables y seguras en BigQuery, Cloud Storage, Dataflow, Dataproc, Composer y Pub/Sub.
Definir estándares de modelamiento, calidad, observabilidad, CI/CD e IaC; gestionar documentación, pruebas y control de versiones.
Interactuar con usuarios, científicos de datos e ingenieros para priorizar requerimientos, desbloquear dependencias y mentorizar al equipo.
Resolver issues productivos en GCP y Power BI, optimizando performance y costo, coordinando escalamiento con proveedores cuando aplique.
Requirements
Profesional universitario en Ingeniería de Sistemas, Ingeniería de Software o carreras afines
A Staff Data Engineer role focused on leading design and architecture of scalable data platforms on GCP, managing engineering teams, and driving data strategy roadmaps.
Locations (2)
Bangalore, Karnataka, India
Chennai, Tamil Nadu, India
Responsibilities
Lead the design and architecture of scalable, resilient, and high-performance data platforms on Google Cloud (GCP).
Define and implement data engineering best practices, including data modeling, pipeline orchestration, and data governance.
Architect solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems.
Ensure alignment to enterprise data strategy, including data products, SSoT, and platform standardization.
Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks.
Senior Data Engineer responsible for designing, building, and maintaining scalable data platforms on Google Cloud.
Responsibilities
Implement the design and architecture of scalable, resilient, and high-performance data platforms on GCP
Implement data engineering best practices, including data modeling, pipeline orchestration, and data governance
Develop solutions using Big Data technologies such as Apache Spark, Hadoop ecosystem, and distributed systems
Drive end-to-end data pipeline development using Scala, Spark, and modern ETL/ELT frameworks
Lead development of batch and real-time data processing pipelines leveraging GCP services like BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage
Build the connectivity, profiling, and graph/search backbone that the ontology runs on — turning raw source systems into clean, lineage-tracked, query able knowledge.
Compensation
The annual salary for this position is between $80,000 - $140,000 depending on experience and other qualifications of the successful candidate.
Responsibilities
Own data source connectivity: build and maintain adapters to connect master data and work-ticket APIs via BigQuery, Cloud SQL, REST/Apigee, GCS, and Pub/Sub.
Own data profiling and inference: profile source data for quality, statistical patterns, dependencies, and lineage ahead of ontology mapping.
Stand up and operate the Knowledge Core — the graph and search backbone — using Spanner Graph (or an equivalent property-graph/RDF platform), Dataplex, BigQuery, and Vector Search.
Build batch and streaming ingestion pipelines that keep the graph and catalog current as source systems change.
Implement data quality checks, schema discovery, and the metadata catalog, surfacing issues to the Architect and Data Domain SME.
Data Engineer responsible for designing, implementing, and maintaining robust, scalable data pipelines and ensuring data quality, security, and governance for a major airline client.
Responsibilities
Design, implement, and maintain data ingestion and transformation pipelines
Optimize processing and storage to reduce execution time and costs
Apply data governance standards and medallion architecture
Ensure data security and compliance with GDPR, LGPD, ISO and local regulations
Monitor pipelines, respond to incidents, and adapt to new business requirements
Senior Data Analyst / Engineer expert specializing in GCP and DBT for long-term strategic missions to structure, model, and valorize data within complex client environments.
Responsibilities
Concevoir, optimiser et maintenir des architectures de données modernes, robustes et scalable.
Structure data transformation layers, document models, and implement rigorous quality tests via dbt.
Develop and orchestrate complex data pipelines (ETL/ELT) using the Google Cloud Platform ecosystem (BigQuery, Composer, etc.).
Translate business needs into key performance indicators (KPIs) and design impactful decision-making dashboards.
Disseminate best practices (CI/CD, versioning via Git) and mentor junior profiles.
Seeking an experienced and adaptable Senior Data Engineer to lead the ownership, design, and delivery of data pipelines and warehousing infrastructure that feeds analytics and reporting across The Beatport Group.
Locations (2)
Pacific Northwest, Canada
Pacific Northwest, United States
Responsibilities
Ownership of production data pipelines across our comprehensive GCP based warehousing, from orchestration to reporting, focusing on reliability, performance, cost efficiency, and integrity.
Writing scalable dbt and BigQuery SQL across multiple business functions to build and maintain robust data models for all elements of The Beatport Group’s stack.
Planning and designing RDBMS and data warehouses, data models, repositories and pipelines with best practices for performance and scalability
Maintaining and developing integrations with partners of the group with relevant APIs and file based exchange services (SFTP, GCS etc.)
Create and maintain documentation for APIs, data pipelines, data models and data dictionaries
Responsible for assembling and building machines, including loaders and special machines, using SolidWorks models and drawings, and ensuring quality and safety standards.
Compensation
The hourly salary range for this position is $28.00 - $36.00 per hour. Machine Builder level IV-V is eligible for a sign on bonus of $12,000.
Responsibilities
Proficient in the assembly process of machines including formers and closers
Navigates SolidWorks models and drawings to determine problems and clarify the build process
Performs the assembly process of loaders and special machines
Completes a Production Concerns request when discrepancies are discovered
Completes an Engineering Change Request (ECR) for machine continuous improvement ideas
Requirements
Two-year Automated Packaging degree or equivalent experience
Sr. GCP Data Engineer (Remote)Cognizant · Remote
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