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Python in data engineering, web, and/or ML applications. As part of Reverb’s Data Engineering team, you’ll help build a platform to enable confident, informed decisions and products that scale along with our business.
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The team will do the ELT, data engineering needed to either migrate client from Oracle to Databricks Lakehouse immediately, and then to integrate HA data system into our client data systems long term.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & GitHub.
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Proficiency in data modeling tools such as Erwin Data Modeler. ETL and Data Integration: Informatica IDMC, Informatica ETL. The Analytics & Reporting Lead will oversee the development and execution of data engineering and analytics strategies within a dynamic banking environment.
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Assist CRAM with identifying, testing, and implementing advanced technology, data, and modeling solutions for CECL, stress testing, and credit and data analytics (e.g., Dataiku). Aid CRAM in creating the Construction Stress Test Program, including due diligence on third-party developers and data scoping.
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Collaborate with data engineers to design and optimize data pipelines on GCP using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow. Experience with data pipeline tools and frameworks such as Apache Airflow, Cloud Composer, and Cloud Dataflow.
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PhD or MSc in Bioinformatics, Computational Biology, or a related field, with extensive experience in single-cell and spatial data analytics. Cell Segmentation & Data Integration: Perform advanced cell segmentation (per-pixel, machine learning, or molecular coordinate-based) and integrate diverse imaging data (IHC, smFISH, H&E) with Visium and scRNAseq.
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Design, develop, and maintain data pipelines using GCP services in developing and implementing data ingestion and transformation processes using tools like Composer, Apache Airflow, Dataflow and Pub/Sub.
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Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse.
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You will work on data extraction, data transformation, data loading into GCP & WebFocus Integration to support the Enterprise in the Data Factory on Google Cloud Platform (GCP.
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Technical and business familiarities with financial systems (D365), CRM (Salesforce), enterprise data warehouse (Azure Data Lake) or infrastructure projects. Preferred certifications include: PMP, PgMP, PMI-ACP, CSM, LPM.
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The Field Vibration Analyst/Engineer will perform a variety of vibration data collection and problem-solving activities for different rotating and reciprocating machinery at the facility. Perform vibration analysis by acquiring vibration data using different data acquisition hardware and their software applications preferably Scout analyzer & System 1.
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Understanding of cloud security concepts (SaaS, PaaS, IaaS), mobile architecture, network and application security and/or data protection, preferred. Professional security management certification, such as a ISC(2) Certified Information Systems Security Professional (CISSP), SANS GIAC Information Security Professional (GISP), CompTIA Security+, CompTIA Network+, highly desirable.
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Must have experience with most or all of these technologies: Brocade, Cisco Networking, Data Centers, Fortinet, HMI Programming, HP Server Hardware, MES, PLC Programming, SCADA, Vmware. MUST HAVE: Must have experience with most or all of these technologies: Brocade, Cisco Networking, Data Centers, Fortinet, HMI Programming, HP Server Hardware, MES, PLC Programming, SCADA, VMware.
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Technical Proficiency: Proficiency in data analysis tools (e.g., SQL, Python, R), data visualization software (e.g., Tableau, Power BI), data lake systems (DataBricks), and knowledge of database management systems.
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data job in Metairie, LA
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