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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years of data warehousing experience (Redshift or Snowflake.
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Keywords: ETL sql ssis informatica dwh data warehousing banking financial azure snowflake databricks ELT market risk jira confluence tidal django flask pyramid tornado pytest pylint. Write SQL queries against Snowflake.
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8+ years of experience with Data Warehousing, Data Engineering, Data Architecture, AWS Cloud. Denodo Data Virtualization Languages include SQL, PL/SQL, UNIX Shell Script, Java, Python, SCALA.
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Knowledge of data modeling, dimensional modeling, data quality, and metadata managementProficiency in programming languages (e.g., Python, R), data analytics tools (e.g., SQL, Tableau), and machine learning frameworks (e.g., TensorFlow, PyTorch.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Snowflake Cloud Data Warehouse as well as SQL and Azure big data technologies.
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Strong programming language using Snowflake, Snow SQL and Snow PIPE is a must. Minimum of 9+ years IT experience in Data warehousing, ETL of which at least 3+ years of experience in Snowflake.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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10+ years of software development experience and leading teams of engineers and scrum teams 5+ years of hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL, and PySpark) Solid Data warehousing concepts.
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More hands on with data science but understand how data warehousing architecture works- To effectively execute data scientist projects you would need to understand how the data warehousing works, should be ready to learn and work on warehousing but data science skills are most important.
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Strong knowledge of data warehousing solutions and relational SQL and NoSQL databases, Snowflake, MS SQL Server a plus. Experience with AWS cloud services: EC2, RDS, MSK, Lambda. Strong knowledge of data warehousing solutions and relational SQL and NoSQL databases, Snowflake, MS SQL Server a plus.
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Must have a strong command of SQL, ANSI SQL, and PL/SQL for ETL relating to data warehousing and integration. Minimum 5 years of work experience in data integration and/or data warehousing.
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8+ years of experience with ETL testing, Informatica, Data Warehousing, & SQL. Including complex PL/SQL coding skills. Should have advance SQL skills. 8+ years of experience with ETL testing, Informatica, Data Warehousing, & SQL.
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Strong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala). Knowledge of data warehousing architectures, data integration techniques, and ETL tools (e.g., Informatica, Talend, Apache NiFi.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong proficiency in data engineering technologies, such as SQL, Python, and data integration tools. Relevant experience of a minimum of 6 years in data engineering, including data warehousing, ETL development, and data modeling.
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3+ years of experience in application development including Python, SQL, Scala, or Java. 1+ years of data warehousing experience (Snowflake or DeltaLake) 1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL.
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