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Familiarity with data modeling, MSSQL and/or Python for ad-hoc analysis, and cloud and native data warehouse systems such as Snowflake, Azure SQL, Redshift, or similar. 5 - 7 years: Hands-on experience with cloud and native data warehouse systems such as Snowflake, Azure SQL, Redshift or similar.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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A successful Applied Performance Engineer will have a broad range of skills and experience ranging from strong SQL skills, data warehousing, data architecture, data engineering, ELT/ETL, security, performance analysis, analytics, etc.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Proven experience working with large, complex data sets and disparate data sources across various platforms (e.g., SQL Server, Informix, Oracle, Access, Postgres, etc. In-depth understanding of database principles and experience in querying data from multiple sources using SQL, Python, Spark or other advanced query / database techniques.
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Warehouse Associate , we need someone who will own a variety of material handling duties such as receiving, loading/unloading material, pulling/assembling customers' orders, and inventory checks.
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The ideal candidate will have extensive experience in PySpark and SQL, and have worked with data pipelines using Amazon EMR or Amazon Glue. The candidate must also have experience in data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, Presto, and orchestration experience using Airflow.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) - Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results.
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Lift objects that weigh anywhere between 15 pounds and 50 pounds (i.e. anything from a bowling ball to a twin-size mattress) with or without a reasonable accommodation The Frito-Lay Warehouse team comes to us with a wide variety of experiences, usually after honing their skills with prior success in warehouses but also other fast-paced environments.
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3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake.
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Transition and Implementation: Guide the transition from Tableau/Alteryx to Power BI/Fabric, ensuring seamless data migration (including data governance and quality control), report conversion, and system integration.
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Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL Writing SQL queries against Snowflake. Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
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AWS is looking for a Sr. Controls Engineer to become part of a mechanical solutions engineer team, responsible for the design and continuous innovation within our rapidly expanding data center foot print.
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We are looking for a Staff Data Scientist to partner with our product, design, engineering and business leaders to drive adoption and retention for two of our emerging products. As the lead data scientist on these teams, you will leverage data insights to identify opportunities, inform key product and business investment decisions, and play a critical role in helping Jerry become the first, truly connected ecosystem for car owners.
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Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy. The Senior Principal Data Engineer / Data Architect is an essential role that merges data engineering expertise with strategic data architecture responsibilities, emphasizing enterprise data security and compliance with government-level data retention and security standards for both batch and streaming scenarios.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago
pl sql data warehouse jobs in Seattle, WA
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