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Utilize Databricks for big data processing and streaming analytics. Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
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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. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink) Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Technical skills and qualifications in technologies such as Nifi, Python, Kafka, Databricks, Informatica, data modeling tools, big data/lakehouse/RDBMS/data warehouses, metadata management, data management principles, secure data service architecture, cloud infrastructure, containerization, secure DevOps, APM techniques, and SDLC methodologies.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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We are looking to speak to Big Data Architects or developers, or in fact, anyone who has legitimately been through 1 full life cycle using any Cloudera product to drive Big Data Strategies in an organization.
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Experience using big data technologies and distributed computing engines, e.g. HDFS, Spark, Kafka, Cassandra, Solr, Dask. Translate business objectives into data and analytics solutions and, translate results into business insights using appropriate data engineering and data science applications.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. This role will lead solutioning and implementation of data and integration needs of digital & omni-channel platforms at BCBSMA This role will work closely with other technology partners to build highly available, scalable and distributed data platforms using open source frameworks to process high volume, high velocity, and wide variety of structured and unstructured data.
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Collaborate with other peer organizations (e.g., Business Analyst, Data Modeler, QA, technical support, etc.) You understand the challenges of handling data at scale and are always looking for opportunities to leverage open-source tools to accelerate development.
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Big Data Platforms (Cloudera, Databricks), Big Data Technologies (Scala, Impala etc), Data Modelling & Data Architecture. Skill: Big Data Modeler / Architect.
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Job DescriptionWe are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques.
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Familiarity with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL. Continuously evaluate new cloud technologies and data processing frameworks to enhance the feature store's capabilities, including integration with Azure-based services like Azure Data Factory, Azure Databricks, and others.
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Nova Data provides both on the job and classroom training and development to further our employees' careers as an NDT Technician. Nova Data Testing is currently looking for hard-working and dependable experts as Non-Destructive Testing Technicians to support our projects in the South East and the New England regions.
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Experience using cloud-based large data platforms such as Databricks, Synapse, Data Lakehouse is a plus too. GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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big data jobs Title: caregiver Company: Eagle Home Care in Quincy, MA
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