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Proficient in toolings like Docker, Container, Kubernetes, AWS, Spark, Hive, Cassandra, Redis, Kafka, TensorFlow, Pytorch, Airflow, numpy, pandas, CI/CD. 10+ years of hands-on experience in building end-to-end systems and in ML Ops, including exploratory data analysis, feature engineering, sampling, model training with ensemble learning and/or deep learning, model validation, testing, serving, deployment and monitoring.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Experience with cloud technology stack (AWS, Kubernetes, Spring Boot, Kafka, SSO, Cassandra.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line.
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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures a plus.
$90 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Our Members have over 16 million end customers (residential and businesses who receive power, internet, television and/or telephone services) that our enterprise software solution enables our Members to compete effectively in the industry, while excelling in customer service.
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Big Data Architect IT Consultant Master. The Client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the Client Data Modernization Effort.
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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. Experience in SQL and NoSQL, such as MySQL, PostgreSQL, Cassandra, HBase, Redis, DynamoDB, Neo4j, etc.
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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. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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Plus: Experience with cloud-based databases (e.g., Amazon Redshift, Google BigQuery) or NoSQL databases (e.g., MongoDB, Cassandra) for handling big data. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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As a Senior Sales Specialist - Data & AI, you will be a senior solution sales leader within our enterprise sales organization, working with our most important customers. , AWS (Redshift, Aurora, Glue), Google (BigQuery), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR, Cloudera/Hortonworks, etc.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Big Data – Cloudera or Hortonworks Hadoop, Hive, Yarn. Build applications which integrates with heterogeneous data sources – Hadoop, Hive, AWS S3, MongoDB, Cassandra. Pair up with other data engineers to develop analytic applications leveraging Big Data technologies: Hadoop, NoSQL, and In-memory Data Grids.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the Data Modernization Effort.
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Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Seven or more years of experience as an AWS Data Engineer or Architect in designing and building large-scale solutions in an enterprise setting in both development and deployment.
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cassandra big data jobs Title: data architect solution
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