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Building ETL processes using metadata driven frameworks based on ADF/Databricks. SQL Server, Azure SQL, Azure Synapse, Databricks, or Snowflake. SQL Server, Azure SQL, Azure Synapse, Databricks or Snowflake.
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Snowflake, Databricks, Python, SQL , SSRS, SSIS. Snowflake + Databricks + Azure Data Factory with Python+ Java. Experience in performing ETL using Databricks on Azure Cloud. Good hands-on experience on Snowflake Data Warehouse.
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Good to have Data Integration, Data Quality, Data Architecture and Master Data Management, Data manipulation; import, export, database conversion and parsing techniques, and Extract, Load, Transform (ETL.
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10+ years in software development and 5+ years building ETL pipelines and data infrastructure (e.g. Redshift, Snowflake, BigQuery, Databricks) Build and maintain actionable reporting, analysis, and core metric dashboards using tools like DBT, Snowflake, Looker, Quicksight, and Tableau to empower decision-making and provide business insights to cross-functional leaders.
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Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using AWS services (e.g., S3, Glue, Lambda) , ETL tools [ e.g., Qlik, Firetran, Informatica IICS] and Snowflake.
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Data Warehousing, Data modeling, Data mastering, Data quality, ETL, Informatica, Alteryx, MSSQL, Oracle, Teradata, Hadoop, Snowflake, MSSQL, SSIS, SSRS, PowerBI, Tableau, Python, R, Scala, SPARK a další programovací jazyky, reporting, ETL nebo další datové nástroje.
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Develop and maintain automated testing scripts and frameworks, with a focus on ETL job automation, SQL query validation, and Snowflake target validation, using scripting languages (e.g., Python, Ruby) and tools such as Cypress.
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5+ years in Snowflake in AWS and Talend Data Integrator or other BI/ETL tools. Hands on experience working with Talend or SSIS as an ELT tool with Snowflake and SQL server Data Integration.
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Experience in Data migration from RDMS to snowflake cloud Data warehouse. The Hartford's Global Specialty IT team is seeking a hands-on Senior Staff Data Engineer to enhance and support its Data assets on snowflake and SQL server platform.
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Sie unterstützen bei der Implementierung von Lösungen in Datenintegrationsprojekten sowohl per Code (Python, SQL) als auch visuell (ETL-Lösungen on-Premise wie cloudbasiert) Idealerweise haben Sie praktische Erfahrung in Cloud-Umgebungen (Azure, AWS, GCP, Snowflake.
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Lead ETL/ELT processes which include the development, refinement, and implementation of data loading and processing tools, including Snowflake, Airflow, Python, SQL, dbt, and shell scripts.
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Practical & recent experience in data pipeline development with Big Data frameworks (Databricks, Spark, Kafka), data modelling approaches (Star schema, Snowflake, Data Vault), and Azure Services (Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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Designing and developing (enhancements and maintenance) new ETL and Business Intelligence Solutions using Talend with Snowflake, S3, and Redshift. Data integration – ETL tools like Talend and Informatica.
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Cloud based tools/solutions including AWS, S3, Databricks, Snowflake, SQL, Python. Your skills and experience will include S3, Databricks, Snowflake, SQL, and Python. Data Engineer I - ETL/AWS page is loaded Data Engineer I - ETL/AWS Apply remote type Hybrid locations CT - Hartford MN - St. Paul MD - Hunt Valley time type Full time posted on Posted Yesterday job requisition id R-33045 Who Are We.
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Understanding of ETL methodology and/or creating data models within Qlik and/or Databricks environment to join multiple data sources into a model for accurate and efficient rendering of outputs within Qlik. Understanding of data automation principles.
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