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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
RemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
RemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency with Linux, R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions and data processing frameworks (e.g., Spark, Hadoop); Experience with database technologies such as Snowflakes, Hadoop, Apache Hive/Impala, Spark, NoSQL, JSON & XML parsing, etc.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Bonus: Familiarity with Spark & Structured Streaming, Databricks, AdTech. Utilize tools such as Databricks, AWS EMR to design and develop intuitive analytics solutions for data warehousing & big data processing.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Knowledge and experience working with Spark or Databricks is a plus. We help organizations like Uber, GoDaddy, MGM, Siemens, Stanford University, and the State of California, build distributed software development teams, and deliver transformational digital solutions.
Full-timeRemoteExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Experience with modern data tools such as Spark, Kubernetes, Docker. In-depth experience with cloud technologies such as Snowflake, dbt, AWS, Airflow. Experience using a data visualization tool like Looker, Tableau or PowerBI.
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Experience in integrating with cloud-based data warehouses/data lakes (e.g. Snowflake, Databricks. Experience in integrating with cloud-based data warehouses/data lakes (e.g. Snowflake, Databricks.
$113,325 - $188,875 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Knowledge of data query languages like SQL, and of cloud-based MS Azure Databricks use in modeling. Master’s Degree in Statistics, Data Science, Applied Mathematics, Econometrics, Finance, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Knowledge in handling big data using tools such as Apache Spark. Execute mission-critical systems engineering work including, but not limited to: autonomous driving runtime, operating systems, embedded systems, large-scale distributed databases, model training systems, performance optimization, and software/hardware system architecture.
$175,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML.
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Leveraging cloud data platforms such as Databricks, Snowflake, PowerBI, Azure Data platform. Cloud–Databricks, Databricks, BI/BA. leveraging cloud data platforms such as Databricks, Snowflake, PowerBI, Azure Data platform.
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