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We are seeking an experienced ETL Testing Engineer with expertise in Big Data and SQL to join our team. Job Title: ETL Testing Engineer with Big Data and SQL. - Proven experience in ETL testing, preferably in a Big Data environment.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Lead architectural design sessions for the modern data stack, focusing on solutions that seamlessly integrate with our technology stack, which encompasses Snowflake, Airflow, dbt, Great Expectations, and AWS data services.
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Minimum of 2 years of relevant professional experience in financial engineering, technology or quantitative investment functions with practical experience querying on-chain data and/or deploying smart contracts.
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Interest in the field of biomedical informatics, computational linguistics, big data science, or computer science is preferred. DGIM holds a monthly medical seminar for RAs with review of clinical case studies and special topics, a research skills and data management training series, and DGIM Research Day, an annual forum for RAs to showcase their contributions via oral and poster presentations and promote professional development through a career panel discussion.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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This role will report to the Program Lead CDM. As part of the greater Biometrics team, the CDM group will continue to expand as our clinical trial portfolio of work and associated data responsibilities increase.
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Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models. Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred.
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Understanding of data governance and metadata management tools that may be used in DoD projects, such as Collibra or Informatica Axon. Proficiency in data modeling tools such as Erwin Data Modeler, IBM Data Architect, or Oracle SQL Developer Data Modeler for creating and maintaining data models.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Hands-on professional programming experience across power industry and power trading is a big plus. Manage, troubleshoot and enhance trading models, data collectors and data stores leveraged by FTR trading team across transmission power flows, power generation economic dispatch, automated monitoring, analysis of transmission system constraints and statistical simulation based on historical data.
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Lead the Research and Development data automation efforts to support Takeda R&D's vision to create a development engine and ecosystem that provides optimal clinical data control and quality in a predictable, automated & cost-effective way.
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Under direction of the Client Services Supervisor, the Data Processing Coordinator provides daily oversight of laboratory data processing services, ensuring efficient and high-quality specimen processing.
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big data jobs Title: technology lead Company: Optello in Boston, MA
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