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Build and maintain Snowflake data pipelines and models for a fintech payments company, using Streams, Tasks, and Dynamic Tables to create BI-ready datasets.
Senior QA Automation Engineer using Python/Pytest to build automation frameworks and validate ETL/ELT data pipelines across Web and Desktop applications in Mexico.
Designs, develops, and maintains scalable data pipelines and cloud-native data solutions on Google Cloud Platform, focusing on ETL/ELT development, data warehousing, and cloud migration using GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage.
Develop and maintain ETL/ELT pipelines in Snowflake, manage data lake security and operations, and ensure data governance and performance for analytics.
Builds and maintains batch/near-real-time data pipelines while designing a Databricks Lakehouse architecture to support analytics and modeling in a fintech environment.
Designs and maintains large-scale data pipelines using Databricks, PySpark, and Azure Data Factory to modernize enterprise data infrastructure, ensuring governance, security, and performance for analytics.
L3 support engineer troubleshooting and optimizing Databricks, Airflow, and DBT workflows to maintain enterprise data platform reliability, performance, and stability.
Develops and optimizes data platforms and ELT pipelines on Databricks Lakehouse, using SQL, Python, PySpark, and Delta Lake to integrate data sources and deliver consulting solutions from design to production.
Develops and optimizes Databricks Lakehouse-based data platforms and ELT pipelines, implementing data models (Data Vault, 3NF, dimensional) and integrating diverse data sources while advising clients on technical architecture and deployment processes.
Senior engineer maintains and improves production data platforms on Kubernetes across on-prem, AWS, and GCP, using GitOps and observability tools to ensure reliability and scale.
Our client, a leading organisation, is seeking an experienced Lead Data Engineer to play a key technical leadership role in the design, development and evolution of modern cloud-based data platforms. This is a hands‑on…
Builds and maintains data pipelines, SQL queries, and transformations to integrate media/advertising data for analytics, ensuring quality and collaboration with stakeholders in a hybrid office environment.
Designs and builds cloud-native AI and analytics platforms (Databricks, Snowflake) that turn retail POS data and predictive models into automated decision engines for CPG clients and internal teams.
Builds and maintains FATCA/CRS/PTR regulatory reporting pipelines using Python, PySpark, SQL, and AWS to ensure accurate, traceable, and on-time data delivery in a cloud environment.
Build and maintain scalable backend systems and data pipelines using Python, SQL, and RESTful APIs in a hybrid Auckland role, focusing on database tuning and architecture.
Builds and optimizes data pipelines in Azure/Databricks for clients, focusing on ETL/ELT, lakehouse solutions, and orchestration while bridging technical and business needs in a consulting environment.
Designs, builds, and operates cloud-native data platforms using Python, Spark, Kafka, and modern cloud tools (GCP/AWS/Azure) while applying software engineering best practices to solve business problems through scalable data pipelines and analytics.
Designs and optimizes cloud-based data architectures in BigQuery, building scalable pipelines and semantic layers to enable business analytics and decision-making.
Builds and maintains data pipelines, lakehouse infrastructure, and BI tools for a Malaysian fintech firm, using Azure PaaS, Power BI, and Python/SQL to transform raw data into actionable insights for end users.
Build and maintain scalable data pipelines and Lakehouse solutions using Databricks and PySpark, ensuring high-performance analytics and governance for enterprise reporting and AI/ML workloads.
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