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Job Title People Analytics & Reporting Analyst Job Description Summary Job Description Role Summary This position will support the People Analytics & Reporting team with a focus on Workday reporting delivery,…
Senior Data Engineer building scalable data pipelines and curated data assets using Databricks Lakehouse platform, with experience in SQL, Python, PySpark, and cloud-based data pipeline orchestration.
The Analytics Engineer will design and deploy data pipelines and models on a greenfield Snowflake platform to support various business departments. The role involves using dbt, Fivetran, and Snowpark to migrate legacy systems and prepare data for analytics.
Senior Data Platform Engineer designing and overseeing data pipelines in Databricks on AWS, transforming raw data into analytics-ready datasets while contributing to governance and scalable lakehouse design in a hybrid Sydney office.
Data Engineer (Snowflake) on a managed services team, building and maintaining Snowflake-based ETL/ELT pipelines, optimizing query performance, and supporting enterprise data platforms using Snowflake, SQL, Python, and cloud platforms.
Hands-on data engineering leader driving data enhancements across SQL Server/SSIS/SSRS, DBT, Python, and Fivetran, focused on architecture, code quality, CI/CD, observability, and coaching engineers at a Manila-based company.
The Senior Data Engineer will design and build end-to-end ETL pipelines and self-service data tooling to support satellite mission monitoring and analysis. The role utilizes a modern cloud data stack including Python, SQL, dbt, and cloud platforms like GCP or AWS.
Senior Data Engineer building and operating trusted data products, pipelines, and platform workflows using Snowflake, dbt, Fivetran, and Terraform to power analytics, AI, and operational decision-making at a landscaping/arborist SaaS company.
4-month contract Data Engineer working in an Azure/Databricks environment to support a sales data project, using Python and SQL to map products and analyze subscription growth.
Analytics Engineer building a scalable analytics platform from the ground up using Fivetran, Snowflake and dbt to create ELT pipelines, reliable data models and dashboards from CRM, fund administration and investor systems.
Kiiro is seeking an experienced Data Engineer to build robust data foundations, pipelines, and cloud-based architectures for clients using technologies like Python, SQL, AWS, and Databricks. The role involves consulting, designing data solutions, and industrializing data science and GenAI products.
Analytics Engineer building data models with dbt, writing SQL, and working with BigQuery and Looker to support analytics at a payments company.
Architects and leads large cloud data platform programs using Snowflake, Confluent Kafka, event-driven architecture, and CI/CD with GitHub Actions.
The Data Engineering Manager will lead the design and development of a new data platform, managing a team and overseeing data architecture, modeling, and governance. The role focuses on integrating systems like Salesforce and Moodle using technologies such as Snowflake, dbt, and various ELT tools to support business analytics.
This role combines investment back-office operations with data engineering to automate portfolio reconciliation, PnL validation, and trade processing. The engineer will build parsers and data pipelines using Python, SQL, and cloud platforms to eliminate manual tasks and support investment decision-making.
Build and maintain compliance-focused data analytics solutions for a fintech company, using SQL, Python, and BI tools to automate risk monitoring and reporting.
The Senior Manager of Data Engineering will lead a team to design and maintain scalable ETL/ELT pipelines and data warehouse models. The role focuses on technical strategy, data governance, and cross-functional collaboration using Python, SQL, and cloud-based data platforms.
Tech Lead Data Engineering role on client site, designing and industrializing GCP-based data pipelines, infrastructure (Terraform), orchestration (Airflow), and visualization (Streamlit) end-to-end.
Data Engineer building a composable CDP (Atlas) at an entertainment marketing agency, working with Snowflake, dbt, Python pipelines, and AI-assisted development tools.
Build and maintain Azure-based data pipelines and integrations for a finance-focused data platform, standardizing and transforming data for analytics and AI use cases.
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