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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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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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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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Understanding of foundations of Big Data systems and hands-on experience with distributed computational frameworks such as Apache Spark / Apache Beam and NoSQL data stores. Experience with working on large data sets, especially with Spark, Python and Java. Experience with cloud computing platforms, such as AWS or GCP. Experience with Kubernetes.
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We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka. Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.
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Center 3 (19075), United States of America, McLean, VirginiaPrincipal Data Scientist - NLPAt Capital One, we think big and do big things. Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics.
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It is changing the way Healthcare Marketing is done by leveraging latest cloud-native solutions, efficient big data pipelines, processes and technologies. This individual will work directly with the Data Architect, along with the CTO of Lasso to establish a Machine Learning platform along with best practice engineering standards to ensure secure and successful data solutions.
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A fast-growing company with plenty of opportunity for personal growth and development A hard technical challenge to solve with exciting modern technology - cloud computing, Big Data, DevOps, machine learning The ProcessApply now with your CV and any supporting information.
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Our interdisciplinary team uses expertise in medicine, software, Big Data, machine learning, public health and mathematics to transform records from a diverse set of sources into enriched, research grade data which allows us to generate unique insights in a variety of disease areas.
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As a member of the T1D Exchange Quality Improvement and Population Health Team, you will join an innovative team of experts using big data and quality improvement methodology to advance diabetes care.
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Ease in speaking to stakeholders at all levels and various departments: from business executives to data scientists, analysts and IT.Working knowledge of databases and big data technologies such as Hadoop and Spark preferred.
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Develop proprietary investment insights from non-traditional data sources including:financially material ESG data (collaborating with colleagues at Calvert) cross-asset class investment insights (collaborating with colleagues in MSIM's Income Group) non-traditional big data tools (collaborating with MSIM's data science and risk teams.
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Must be familiar with Data Science concepts including at least one of: Experience with Python Experience with data science programming in Python including numpy, pandas, scikit-learn, pytorch, matplotlib Experience with databases and SQL Ideally, experience with big data tech stacks such as map-reduce, spark, etc.
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Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required. Skill: Senior Data Modeler Hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, and ETL and data ingestion protocols.
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Apply knowledge of Natural Language Processing, Big Data/Cloud technologies, Relational databases, CI/CD Development environments and tools, and Agile development methodology. Engage with lines of business, users, and analysts to explore and prototype opportunities and use-cases exploiting data and the applications of cognitive and machine learning software technologies.
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big data jobs in Milton, MA
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