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The Data Engineer will design and implement batch and streaming data pipelines, manage ETL/ELT processes, and ensure data quality. The role requires proficiency in Python, Java, or Scala, along with experience in Spark, SQL, and cloud platforms like AWS.
The Data Engineer will design and implement batch and streaming data pipelines using Spark and Python. The role involves building ETL/ELT processes and collaborating with data teams to ensure data quality and performance.
Responsibilities We are looking for a strong backend engineer who wants to design and scale core systems powering product and assortment management across a large retail ecosystem. You will take ownership of backend…
Responsibilities Provide functional support for Microsoft Dynamics 365 solutions with a focus on Customer Insights – Journeys. Analyze and resolve user issues related to: Customer Journeys Segments and triggers…
Build and deploy scalable AI/ML solutions for clients using Python, cloud platforms, and MLOps tools like Kubeflow and MLflow.
Builds data-driven solutions on AWS, engineering features and analytical workflows to turn datasets into business insights and scalable pipelines.
Builds data-driven solutions on AWS, engineering features and analytical workflows to turn datasets into insights and scalable pipelines.
Builds AWS-based data pipelines and analytical workflows, engineering features and turning large datasets into actionable insights for business decisions.
Builds AWS-based data pipelines and analytics solutions, engineering features and end-to-end workflows to turn raw data into business insights.
Build, integrate, and deploy Salesforce solutions using Apex, LWC, and DevOps; advise clients on CRM workflows and AI-driven automation.
Builds and optimizes classical ML/deep learning models for retail use cases, designs end-to-end ML pipelines, and ensures production-grade model robustness using Python, cloud platforms (AWS/GCP/Databricks), and CI/CD workflows.
Build and deploy production-grade ML pipelines for retail-focused AI solutions using Python, cloud ML platforms, and CI/CD.
Senior Salesforce Developer designs, configures, and integrates Salesforce solutions (Sales/Service/Data Cloud) to meet B2B business needs, bridging technical and non-technical teams.
Designs, configures, and customizes Salesforce solutions to meet business needs, integrating with APIs and middleware while leading technical discussions and best practices.
Data Analyst builds CRM and loyalty insights, automates reports, and integrates AI tools in Databricks and Looker to drive data-driven decisions for a B2B retail tech joint venture.
Analyzes digital commerce performance for a B2B marketplace and retail operations using SQL, Python, Databricks, and Looker, and implements AI-driven analytics tools.
Design, build, and run secure, scalable cloud platforms using Kubernetes, Terraform, and CI/CD, while mentoring teams and optimizing multi-cloud (AWS/Azure) operations.
Data Analyst builds CRM and loyalty insights, automates reports, and integrates AI tools in Databricks and Looker to drive data-driven marketing decisions.
Analyzes digital commerce performance for a marketplace and retail business, building KPIs, data pipelines, and AI-driven analytics using SQL, Python, Databricks, and Looker.
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