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Consolidate and review budgeting, forecast, and quarterly financial reporting (QFR) materials: Gather and analyze financial data from various business units, providing comprehensive insights to support decision-making processes.
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Own and evolve the core of the data pipeline and lifecycle at Directly, whether that involves growing the data model and schema, or implementing systems for data quality and furthering data management through ETL, or improving the efficiency of data ingest.
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Analyzes financial data to construct a holistic understanding of financial activity and assists the Fiscal Officer in monitoring the changing needs of the department. Analyzes financial data at the direction of the Department Fiscal Officer to construct a holistic understanding of financial activity of the Department.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Experience with creating data driven business solutions and solving dataproblems using a wide variety of technologies such as Hadoop, MapReduce,Hive, Spark, Scala, MongoDB, NoSQL, as well as traditional data technologieslike MySQL, RDBMS.
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Proficient in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL) with hands-on experience in ETL processes and data integration tools. Conduct harvesting of lineage and loading of data catalogs from Azure Synapse, including import/excel based manual documentation of lineage for Raw Zone (L1), Curated Zone (L2), and Consumption layer (L3.
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Experience as a Lead and mentor of a team of data engineers to design, develop and maintain robust data movement pipelines using a variety of technologies including (but not limited to) che Airbyte, Airflow, Kafka, Flink, CDC technologies like Debezium, Oracle Golden Gate as well as relevant Big Data technologies like Hudi, Presto, Trino, and Azure Data Lake Services.
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Experience developing data engineering and Client pipelines in Databricks. " Build CI/CD pipelines for Client models, AI products and data engineering pipelines with an emphasis on automated testing, version control, documentation and monitoring.
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Other duties might include: performing data management functions like extracting, importing, and exporting data from various in-house applications; restructuring and merging datasets; assisting with user documentation; running queries on datasets using SQL; preparing datasets for analyses; resolving data inconsistencies; and taking responsibility for completeness and quality of multiple data sets.
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We are immediately hiring a remote Data Analyst III for our Supply Chain Solutions division. This will push the envelope of what is possible within the big data space; streaming live data into a data lake and experimenting with data in the data sandbox.
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Saildrone works with governments, civil agencies, foundations, universities, and private companies around the globe to drive better information about our oceans and seas—from sailing into the eye of a category 4 hurricane to obtain new data about how storms intensify, collecting new CO2 data in hard-to-reach areas, and counting fish biomass to inform sustainable fishery management, to mapping the ocean floor and reducing illegal fishing and drug trafficking.
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Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act. Data Analyst III/IV (Data Governance & Analytics Real Estate Lending.
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Preferred: Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications. Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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Work with Security Operations Center (SOC) analysts to correlate data security events with broader threat intelligence. As a Data Security Engineer/Analyst you’ll be part of our Cybersecurity Office (CSO) team located virtually.
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Title: data modeler Company: Oxyprime
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