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AI Platform Engineer at Dialpad, building and maintaining data infrastructure for AI mining, ensuring data quality and privacy, collaborating with cross-functional teams.
Data Engineer Associate supporting and operating ETL jobs (SSIS, DataStage, PL/SQL) and maintaining data pipelines into on-premise MS-SQL Server data warehouses, using Microsoft BI tools at Scotiabank's ScotiaTech hub in Bogotá.
Senior Analytics Engineer at Secretlab owning end-to-end analytics architecture, data modeling (star schemas, marts), and an Analytics Engineering Center of Excellence using SQL, Snowflake, and Git in Singapore.
Is there a Zenika in you Let's talk skills and passion first. You're a data enthusiast who thrives on transforming complexity into clarity. With deep technical expertise in AWS and Databricks, you design…
At OneAmerica Financial, our purpose is to create more certainty for our customers that leads to better moments, every day. Our commitment is to advance stability and growth in every solution and relationship. We…
Builds scalable data pipelines, telemetry systems, and analytics platforms for gaming ecosystems, focusing on data trustworthiness, observability, and stakeholder collaboration.
The Junior Data Engineer will support the DEA's modernization efforts by assisting with ETL pipeline development, data migration, and data quality validation. This role requires foundational knowledge of SQL, Python, and data warehousing concepts within a secure, onsite federal environment.
The Practice Customer Engineer for Data Analytics at Google Cloud partners with sales teams to design data architectures, build prototypes, and drive technical adoption of Google Cloud's data analytics solutions. This role involves deep technical expertise in big data, cloud-native architecture, and customer-facing advocacy to solve complex analytics challenges.
Job Title: Data Platform Environment Specialist Company: AISIN World Corp. of America Department: DX Strategy and Innovation Location: Northville, MI or Seymour, IN Position Summary The Data Platform Environment…
Builds real-time data pipelines and ensures data quality in a data lake/warehouse using Kafka, Spark, and Snowflake, while collaborating with engineering teams to optimize performance and resolve issues.
Data Engineer building real-time, automated data pipelines into data lakes/warehouses using SQL, Python, and big data tools like Spark and Kafka on a global ecommerce acceleration platform.
MONTICELLOAM, LLC and its affiliates (“Monticello”) is a real estate and asset-based lender providing asset management and comprehensive capital solutions for healthcare, multifamily, and commercial real estate assets…
Designs and scales Honor’s AWS-native data platform to power analytics, AI, and operational decisions, using Redshift, Airflow, dbt, and Fivetran.
Own end-to-end Quote-to-Cash programs across Salesforce CPQ, NetSuite, and integrations, using AI tools to accelerate delivery and embed automation in revenue workflows.
The Data and AI Engineer will manage the company's data infrastructure by maintaining an AWS Redshift data warehouse and building AI-driven analytics tools. This role involves creating ETL pipelines and developing agentic workflows to provide actionable insights for stakeholders across the restaurant group.
Design and implement data pipelines, advanced analytics (ML/AI), and business dashboards for enterprise clients using SQL, Python, Scala, and BI tools like Power BI and Microsoft Fabric in a hybrid delivery-team setting.
Builds scalable data models, pipelines, and semantic layers to enable analytics and decision-making, focusing on SQL, dimensional modelling, and production-grade data solutions.
The Analytics Engineer will design, implement, and maintain data pipelines and analytics systems for a mining company on a 6-month contract. The role involves modeling raw data into clean, reusable datasets using technologies like Python, SQL, Spark, and Apache Airflow.
Design and develop end-to-end ETL processes, data acquisition pipelines, and data warehouse solutions for clients using the Microsoft SQL stack (SSIS, SSRS, SSAS) in an on-site role.
Expert Data Engineer migrating SAP BW products to CBW, building AWS-based data pipelines and integrations, and performing root cause analysis using SAP BW/HANA, AWS services, Python, and SQL in an Agile team environment.
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