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Minimum of 2 years of experience on working with Cloud based data solution ( Snowflake and AWS) Minimum of 5 years of experience on working with Data Lake and Data Warehouse (SQL Server based) Engineers.
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Familiarity with AWS (EC2, S3, MWAA, etc ) , and proficiency in managing cloud-based data solutions (Snowflake). Strong understanding of relational databases (MySQL, PostgreSQL ) , data warehouse, data modeling techniques, and ETL processes.
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5 + years of software engineering experience , with 2+ years of experience in data engineering. Stay abreast of emerging technologies and best practices in data engineering. Optimize data processing and storage solutions for performance and scalability.
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Drive data-driven decision-making processes by extracting, transforming, and loading data from various sources into data warehouse solution, such as Snowflake. Proficiency in Power BI and Snowflake, with the ability to create complex reports and data models.
$123,000 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data warehouse design, database systems, and large-scale data processing solutions. Snowflake started with a clear vision: develop a cloud data platform that is effective,affordable, and accessible to all data users.
$214,000 - $327,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Support and organize data in a data warehouse (Snowflake/BiqQuery); Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Airflow.
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Data technologies deployed within the cloud platform include Azure Data Lake Storage (ADLS), Azure Databricks and Databricks Delta Lake, and Snowflake Data Warehousing. Data Engineering Group handles a data warehouse that sources data out of over 15 sources and services over 10 internal groups.
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The ideal candidate will be well versed with Snowflake, Data warehouses, ETL, SSIS, SSRS, SSAS, and AWS. You will be charged with managing a team that will include data architects, DBA's, and SQL Developers and must have experience with cloud based Data warehouse environments.
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This role builds and automates several applications within the data warehouse so there needs to be a good core understanding of SQL, Python (and ideally Java) along with Informatica/ETL/SSIS. Some of these skills can be learned for a very determined person.
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Technology Stack Required: Google Cloud (Big Query) Snowflake AWS (redshift) NICE TO HAVE Apache data flow, data flex ETL tools PySpark SnowSpark would be excellent. Experience with driving technical planning and solutions for data focused portfolios, including direct project engagement, implementing the plan that enterprise architect set in place to solve whatever tech challenge comes up, data flow, or connecting to data warehouse, or BI tool, or source systems.
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Experience with data cloud services like Snowflake preferred. + Experience with other BI technologies that support effective development like data warehouse models, ETL tools, JavaScript, HTML, CSS, Java.
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By designing and implementing data and analytics solutions using technologies such as Snowflake, Databricks, Vertica, SQL Server, and MySQL. Design the data governance strategy for the enterprise data warehouse keeping business and information security requirements in mind.
$123,900 - $227,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The project team, consisting of temporary and permanent staff, will rebuild an existing data warehouse using new ETL, Business Intelligence, and database platforms with an eye towards cost containment and improved technical performance.
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Experience sourcing, organizing, analyzing and validating data from databases/data warehouse applications (Snowflake), ERP systems (Microsoft AX), business intelligence platforms (Tableau) and Microsoft Office applications required.
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Significant experience with: iPaaS tools like Apache AirFlow API technologies such as REST and GraphQL and transfering files using SFTP Data transformation tools like dbt RDBMS platforms like Snowflake noSQL databases like Mongo Dim/Fact data models for analytics Proficiency writing Python scripts and SQL queries (with experience writing Mongo Atlas aggregation queries considered a plus.
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