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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc., Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Big Data, Analytics and Insights, Business Intelligence (BI), Self Service BI, BI Governance, Banking and Financial Services, tableau, alteryx, aws, Data Visualization, Data Strategy, Data Science, Big Data Analytics, Augmented Analytics, Cloud , Data Management, Data Monetization, Digital Transformation, Starburst, Snowflake, and Gong.
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Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.
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Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes. We are looking for a passionate Principal Engineering to help architect and scale the global data platform systems and services for our new global streaming app, Max, as well as any streaming and non-streaming initiatives within the company.
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This is your chance to gain priceless big data analytics experience, utilizing Covered California’s extensive data assets and working with industry-leading analytics tools like Databricks, Snowflake, and AWS-s3 in cloud native environments.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query). Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Advanced knowledge of architecture-level information security and appropriate use enforcement technology solutions including advanced malware detection/prevention, mobile device virtualization/MDM, cloud security management, structured and unstructured database encryption, mobile application and remote API security, fine-grained application authorization and access control, security event visualization, big data user and entity behavior analytics, active adversary deception, and others.
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Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines. Build tools and services to support data discovery, lineage, governance, and privacy.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran.
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big data jobs Title: data administrator Company: Arrow Electronics in Los Angeles, CA
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