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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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It's an opportunity and challenge on an enormous scale using SAS, R/Python, Hadoop, MapReduce and every emerging platform that makes sense for a team that makes the big. Keywords: customer service representative, customer service, CSR, UnitedHealth Group, call center, Optum, health care, office, phone support, billing, work at home, work from home, WAH, WFH, remote, telecommute, hiring immediately, #rpo.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) CoDAC Team : We are responsible for building data integration pipelines leveraging AWS services and Scala programming to support Card Partnerships conversions into Capital One Card and Enterprise ecosystems.
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Hands on experience working with PowerCenter, Informatica and Snowflake. TN visa sponsorship available for successful candidates. Hands on experience working with PowerCenter, Informatica and Snowflake.
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