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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.) Help us stay ahead of the curve by working closely with data engineers, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. The duties of the Senior Analytics Engineer will comprise data discovery, data modeling, data engineering, and data governance, thus serving as a full-stack analytics engineer leveraging the modern data stack.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives. Demonstrated experience in the following: Python, SQL, AWS, Snowflake, Big query, S3, Glue catalogue, Athena, airflow, etc.
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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. For Senior Data Engineer (III.
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Experience data mining in distributed systems such as Databricks/Google Big Query/Snowflake. Build automated, scalable, repeatable, and integrated analysis using modern big data architectures in data ecosystems such as Databricks, Snowflake, Google Big Query.
$136,038 - $182,490 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The postdoctoral fellow will be using Big Data methods to analyze large-scale questions in the ABCD Study geared at understanding how social determinants of health may influence neurocognitive development of obesity risk.
$29,640 - $80,196.48 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum 2+ years of experience with big data technologies - Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques, Apache Spark, Snowflake, Alteryx, and Informatica Cloud.
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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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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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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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Proficiency in big data analysis, R/Python coding, and Power BI visualization is essential. Collaborate on projects with Office of Court Research, Information Technology Office, and others as needed to assess the analytical needs of the courts and design and provide data analytics to court appointed counsel and the courts.
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In order to accomplish this, we use state-of-the-art languages like React, Redux state management, Javascript, Kotlin, Scala, data technologies like Kafka, Aerospike and Big Data, and agile development practices.
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Conduct in-depth risk assessments for Big Technology companies to identify potential risks in the areas of content and activity moderation, consumer data protection, competition, policies and other mechanisms to counter harm, responsible product/service design, data governance and protection and trust and safety and develop and execute controls testing plans, assessing the adequacy and effectiveness of internal controls in mitigating identified risks.
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big data jobs Title: devops engineer in Los Angeles, CA
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