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Define and modernize enterprise architecture for Mattel’s commercial platforms, including CRM, EDI, trade promotion, and analytics, aligning Salesforce, ERP, and data integrations with business capabilities.
Senior Data Engineer builds and maintains AWS/Snowflake data pipelines for a transit data lake, automating ingestion and enabling analytics for construction and future operations.
Build and scale a cloud-based data lake on AWS and Snowflake, designing ingestion pipelines and supporting analytics teams with curated datasets for a major transit project.
Builds and governs data platforms (Data Lake, Lakehouse, Data Mesh) and ensures data quality, compliance, and security while collaborating with teams to meet business data needs.
Build and maintain data pipelines (StarRocks, Hudi, Trino, Spark) and support in-product analytics for HackerRank’s AI-native data layer.
Build and maintain a GCP-based data lake and Spark pipelines to process ride-hailing, delivery, and financial data, enabling AI/ML use cases and cross-team analytics.
Build and maintain SQL-based data pipelines and reports for a financial-services firm, using T-SQL, SSIS, SSRS, and Power BI to deliver BI solutions and improve business efficiency.
Build and maintain scalable data pipelines and ETL processes for an investment team, using Python, SQL, and Linux to integrate financial data into a centralized warehouse.
Builds and maintains scalable ETL pipelines and data warehouses in Python/SQL to feed analytics and reporting for financial markets.
Build and maintain ETL pipelines in Azure Databricks and SQL, curate data in a central lake, and serve analytics using Synapse, CosmosDB, and streaming tech.
Builds and maintains ETL pipelines in Azure Databricks and SQL, curates data lakes, and serves analytics using Azure Synapse and CosmosDB.
Designs and maintains Azure-based data pipelines and warehouses, integrating SAP systems to deliver real-time analytics and insights for business decision-making.
Build and maintain data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial services reporting and analytics.
Builds and maintains data pipelines and warehouses using SQL Server, SSIS, and SSRS to support financial reporting and analytics in an asset-management context.
Build and maintain scalable data pipelines and ETL processes for a systematic investment team using Python, SQL, and Linux.
Build and maintain BI systems using Python, SQL, and Power BI to generate reports and analyze data for business decisions.
At Sia we believe AI is the cornerstone of the new generation. Our consultants business acumen combined with the expertise of our Data Scientists and AI products empowers us to address our clients business challenges…
Architect and maintain a hybrid cloud data platform (AWS + GCP/BigQuery) for a European fintech, building data lakes, pipelines, IAM, and observability to power analytics and AI transformation.
Senior Python developer building and scaling data-driven banking services using Python, Big Data tools, and cloud/on-prem infrastructure to process large datasets and integrate analytics models.
MongoDB presales architect provides technical guidance to customers, demonstrating how MongoDB’s database platform solves their data challenges.
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