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15+ years of experience (including 7+ years in Azure) in Data Engineering, ETL & Data Warehousing. Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping.
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Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Sr. Vendor Associate. Knowledge of data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Familiarity with ETL tools and data pipeline orchestration (e.g., Apache Airflow, AWS Glue.
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Technical expertise regarding data lakes, data models, data warehousing, analytics, and business intelligence. Strong knowledge of ETL and experience utilizing different tech stacks - SQL Service Integration Services (SSIS), SQL Server Reporting Services (SSRS), Power BI, Azure, Snowflake, Alteryx Designer and Server Excel, etc.
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Stord manages over $5 billion of commerce annually through its fulfillment, warehousing, transportation, and operator-built software suite including OMS, Pre- and Post-Purchase, and WMS platforms.
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Continuously improve performance and reliability of reports Recommend additional options for reporting and analytics Knowledge of data engineering practices, including data modeling, ETL processes, and data warehousing concepts.
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PRIMARY RESPONSIBILITIES Strategy & Planning · Assess and cultivate long-term strategic goals for data warehousing in conjunction with IT architect(s), data users, department managers, clients, and other key stakeholders.
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Over Four years of solid experience in the Analysis, Design and Development of Data warehousing solutions and in developing strategies for Extraction, Transformation and Loading (ETL) mechanism using Ab Initio.
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Experience with Streaming frameworks like Kafka , RabbitMQ Hands on experience with Cloud Platforms (AWS, GCP, or Azure) Experience in designing and implementing large-scale event-driven architectures Understanding of data warehousing and data modeling techniques Experience building and optimizing 'big data' data pipelines, architectures and data sets.
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Interacting and collaborating with Senior PwC SAP Practice Leaders to drive industry best practices and provide thought leadership across projects involving SAP Master Data Migration/Management, SAP Data Governance, Planning and Consolidation, Data Warehousing, Data Modeling over HANA, SQL or Cloud databases and, Data Visualization and Reporting.
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JOB DESCRIPTION JOB SUMMARYThe Enterprise Data Architect is accountable for data architecture, integration, design, development, implementation to deliver modern business intelligence, analytics and data warehousing solutions for the enterprise.
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As a Solution Architect, you'll lead development of warehousing & operations technology capabilities that will not only transform the business but will shape our digital supply chain future. Experience in working on Warehousing and Operations Technology Solutions in Retail Industry is a plus.
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Understanding of data warehousing methodologies and ETL processing. Advanced data Visualization tool experience (Tableau(Expert), Qlik Sense(Good to have) , Looker(Most Preferred) Exposure to other visualization tools like QlikSense and Looker(Preferred.
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Experience with cloud-based data warehousing solutions (e.g., BigQuery, Redshift, Snowflake) Leverage cloud-based data warehousing and analytics solutions for structured data. Experience with cloud-based data warehousing solutions (e.g., BigQuery, Redshift, Snowflake.
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A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling. A strong foundation in data engineering principles, including data integration, ETL (Extract, Transform, Load) processes, data warehousing, and data modeling.
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The Lead Data Engineer is the senior software engineer in the Business Intelligence and Data Warehousing team. Experience in Kubernetes, Docker, Terraform, and/or Snowflake is a plus. Experience in developing application integration using SOAP/REST APIs and big data technologies such as Apache Spark.
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warehousing job Title: associate Company: Dhl in Dallas, TX
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