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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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Strong knowledge of data formats such as Parquet, Avro, ORC, XML, JSON, data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool) or Databricks, and AI/machine learning infrastructure needs.
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Google Cloud Data Products: Experience with CloudSQL, Spanner, Cloud Storage, Pub/Sub, Dataflow, Dataproc, Bigtable, BigQuery, Dataprep, Composer. Big Data: Managing Hadoop clusters, troubleshooting, migrating Hadoop workloads, architecting solutions, ETL pipelines with Spark, Apache Beam, messaging systems like Pub/Sub, Kafka.
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Experience in data ELT/ETL using orchestration tools such as Informatica or Apache Airflow. Experience with strategies and tools around Data Governance and Data Lineage. Experience with cloud-based data warehouse platforms like Snowflake.
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Technically Proficient: Deep expertise with both relational and non-relational data stores, Elasticsearch, Cassandra, MySQL, PostgreSQL. Familiarity with JVM-focused tech stacks, particularly server-side Kotlin and gRPC.
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Develop ETL programs for complex dimensional data models within modern data platforms such as AWS Aurora Postgres, Snowflake, etc. The Data ETL Engineer for the UT Data Hub improves university outcomes and advances the UT mission to transform lives for the benefit of society by increasing the usability and value of institutional data.
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
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Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML). Azure data services, Databricks, Python, SQL, PySpark, GitHub.
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The Legal & Compliance Organization is looking for a mid-level Data Analyst to join a multi-disciplinary group that works collaboratively with the Global Trade, Ethics & Compliance, Litigation, Privacy, Business Unit, and Corporate Services teams to conduct a wide range of business intelligence, visualization, and investigation support functions.
$198,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Gather, analyze and utilize data from escalations and content/ad reviews to develop improvements for the overall escalation process, policies, products, and generate operational insights for the supported community.
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Experience with large scale, big data query engines and technologies such as Trino, Presto, Iceberg, and Hive. We are seeking a highly skilled engineer with expertise in Linux administration and experience with Big Data technologies, particularly Kafka, Trino, and Elasticsearch.
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We are seeking an experienced Oracle Fusion Data Analyst to join our team on a fully remote basis. Data Visualization: Utilize Oracle Fusion to create, manage, and optimize data visualization solutions.
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Ideal for someone with a strong data engineering background, proven experience in building scalable batch and real-time processing systems, and a track record in payments, risk, or fraud prevention.
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Experience implementing data solutions using Snowflake, Databricks, Redshift, BigQuery, & Azure SQL Database. Expertise with Tableau dashboard and data visualization design is a plus. Strong leadership & communications skills to lead a data engineering team.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Title: data Company: Emory University in Austin, TX
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