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Voluntary benefits including auto, homeowner and pet insuranceAbout the Opportunity:Background selling analytics and database solutions, experience with Snowflake, Databricks, Google Big Query and/or Amazon Redshift preferred.
$141,800 - $232,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideally should not be more than 3-5) Oracle , Oracle Planning ,SQL Skills and Teradata Good-to-Have Azure Cloud, Postgres, Azure Storage, Azure Databricks, Java SN Responsibility of / Expectations from the Role 1 Data Extraction, transformation and loading process using SQL. 2 Developing SQL scripts and need to change to current Oracle Planning and help to move the On-Premises Hyperion Planning to Cloud 3 Follow either Agile Scrum or waterfall methodology for projects wherever applicable.
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Experience implementing data solutions using Snowflake, BigQuery, Databricks, Redshift, & Azure Synapse. Experience implementing data solutions using Snowflake, BigQuery, Databricks, Redshift, & Azure Synapse.
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Understanding of DevOps and AWS. Desired: Experience with other technologies used including Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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Familiarity with NoSQL technologies such as Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plus. Familiarity with NoSQL technologies such as Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plus.
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Experience with AWS (Aurora & Redshift specifically), SQL Server, Snowflake, Databricks or similar. Experience with AWS (Aurora & Redshift specifically), SQL Server, Snowflake, Databricks or similar.
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5 years, Required - Implementation experience with enterprise class databases e.g. Teradata, Oracle, SQL Server, etc. 5 years, Required - Implementation experience with analytical and reporting tools e.g. Business Objects, Cognos, Hyperion, MicroStrategy or similar tools.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift.
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Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more). Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more). The Senior Data Operations Engineer will develop, maintain, and analyze datasets from diverse sources, including mobile and web, government agencies, web crawls, social media, and proprietary datasets, to create insights for our clients, power our platform, and create an innovative market understanding.
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Excellent understanding of T-SQL programming and Teradata SQL Understanding PERL for any legacy code debugging, ability to write shell and python scripts Hands on experience using SQLServer agent jobs and logshipping for SQLServer Develop a test framework for database migrations to compare objects and data from source systems to target systems Write test cases for comparing performance throughput across Hybrid data centers, and capturing and storing the results for performance benchmarking.
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AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway. 5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
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Intermediate to Advanced data analysis skills and tools (e.g., SQL, SAS, Python, Hadoop, Teradata, Snowflake, Tableau, Collibra, Infosphere, Alation, etc.) Represents GBS Data Governance in enterprise workgroups and data steward communities of practice.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies. Expertise with OLTP (i.e. MS SQL Server, Oracle, MySQL, PostgreSQL) and OLAP (i.e. Redshift, Snowflake, BigQuery, Synapse) database technologies.
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