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Extensive experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, AWS, and Looker. By establishing HackerOne's one source of truth and developing data products and solutions on this foundation, we help our Hackers, Customers, and Hackeronies gain insights and make better decisions, thereby empowering the world to build a safer internet.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Análisis, diseño y desarrollo de modelos de datos corporativos (Data Lake / Data warehouse) en tecnología GCP (Bigquery / Dataflow/ Kubernetes / Composer)Requisitos:● Experiencia como líder técnico.
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Uses coding skills to enable multiple sources to move data through Snowflake, MDM, RDS, and other cloud data environments using tools such as Spark, Striim, Kafka, Snowpipe, Azure Data factory, AWS Glue, Matillion, FiveTran and more.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. The FreeWheel Data Processing and Data Warehouse team is responsible for creating and managing the frameworks for large scale ETL using modern frameworks such as DBT and Spark.
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Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL. Work with data engineering platforms and tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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Certification in financial crime investigation (e.g., Certified Fraud Examiner (CFE), Certified Anti-Money Laundering Specialist (CAMS. Conduct detailed intelligence analysis related to cryptocurrency transactions and blockchain data to identify illicit activities and uncover hidden patterns.
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Be the company's expert on data administration and master data management. Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice.
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Track record of advocating for customer solutions, the deep dive analysis of data and trends to ensure the positive resolution of the complaint. As a Complaints Specialist on our Customer Team, you will handle complaints resolution within the established procedures, ensuring that customers receive a timely and accurate response to their complaints.
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Profound knowledge of AWS Data services (eg: Redshift, S3, EMR, Glue, RDS, Kinesis, etc.) Participate in the overall strategic direction of the data engineering technology stack. Experience with Data management and Data governance processes and standards.
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There are many employment opportunities with the Postal Service from entry level to management. Fields such as Mail Processor, administrative, general office, accountant, administrative assistant, auditor, bookkeeper, office assistant, secretary, staff assistant, typist, etc.
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Design, build, and maintain an efficient and flexible data ingestion framework that allows internal product, engineering, and operations teams to contribute data sources (new or updated) into GCP and BigQuery.
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Utilizing Python, Kotlin, Snowflake, DBT, and Kubernetes, you will play a crucial role in enhancing our data infrastructure. Extensive experience with DBT and Snowflake for data warehousing, including complex SQL/ETL/ELT workflows.
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SummaryThe Communications Specialist is responsible for first-line support to the HR team in the overall design, implementation, and maintenance of an effective companywide strategic approach to internal and external communications.
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Using BigQuery and DBT, design and execute scalable reporting models that minimize technical debt, make efficient use of BQ resources, keep data fresh, adhere to Underdog best practices, and allow stakeholders to access the data they need.
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Title: data entry specialist Company: Smart Data Solutions in Bethel Park, PA
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