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These technologies include but are not limited to Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights. These technologies include but are not limited to Microsoft, SAP, Qlik, Snowflake, Alteryx, Automation Anywhere, and Workday Adaptive Insights.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge of data warehousing, Snowflake, SQL, Databricks. Knowledge of common databases like SQL, Databricks, advanced excel, VBA, advanced PowerPoint, Engagement and execution data, etc. Exp erience of using analytical tools like Power BI, Qliksense, Tableau, Smartsheet, and Alteryx etc.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are heavily dependent on Snowflake, Airflow, Fivetran, dbt , Tableau for our business intelligence and embrace AWS as a key partner across our engineering teams. 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.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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O Familiar with the following tools: Python, Python libraries (Pandas), Py Tests, SQL, NoSQL, MySQL, Apache Spark, ETL, Cloud tools: Azure, Google & AWS (e.g. S3 buckets, Glue, Redshift), Data Lakes, GitHub. PowerBI, Tableau, Snowflake, Apache Airflow.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Create the optimal raw-to-ready data concept in the context of the client's needs, their "data landscape", and our technology capabilities (Qlik Sense, Snowflake, Qlik Replicate/Compose, Qlik Sense.
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Knowledge or experience with big data technologies such as Spark, Hadoop, Redshift, Snowflake, Kafka, Flink, Druid, Clickhouse. The main technologies we use include: Elixir, Erlang, Python, Terraform, Ansible, Packer, EMR/Spark, Apache Spark, Apache Druid, BigQuery and Redis.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Technical Skills : Proficiency in Python, data modelling, Snowflake, SQL, dbt, Airflow, Spark, Machine Learning, Data Analytics, & AWS. Snowflake Certified Data Architect or Snowflake Certified Data Engineer.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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We are hiring an Executive Director to lead a global team of ~80 professionals to deliver customer-facing data and analytics capabilities, advance existing infrastructure by adopting cloud-native solutions (e.g., Snowflake, Databricks, etc.
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The Data Management Specialist will be responsible for managing and optimizing our organizations data infrastructure, ensuring data quality, and implementing data solutions using PySpark, DataBricks, Snowflake, and/or Redshift.
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Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB). In this role, you will be responsible for the administration, maintenance, and optimization of our cloud-based databases on various platforms, including Snowflake, Redshift, AWS, GCP, and Azure.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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8+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server. 10+ Experience with data warehousing concepts and experience working with databases such as Teradata, Oracle, Snowflake and SQL Server.
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You will be working on infrastructure that is already set-up and continuously improving with technologies such as: AWS, Singer, Snowflake, Airflow, DBT, and Metabase, and with them we invite you to change the vicious cycle of problems in healthcare.
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Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects. Create pipelines and processes to import large, complex data sets into cloud (snowflake) environment.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. 2+ years of experience with Presto or Snowflake. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience building production systems with more modern ETL and data systems, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search. Implement data-related business logic on modern data platforms, such as AWS Glue, Databricks, Snowflake, Elastic, and Azure Cognitive Search using best practices and industry standards.
ExpandApply NowActive JobUpdated 11 days ago
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