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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Expertise in one or more of the following RDBMSes: PostgreSQL, MySQL, Oracle, SQL Server. Experience working with Cloud Data Warehouses/Platforms, especially Snowflake, Redshift, Databricks, and BigQuery.
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Proficient in managing and optimizing Snowflake, SQL Server, and Oracle databases. : Administer, maintain, and optimize SQL Server or Oracle databases to ensure high performance, availability, and security.
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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Amazon Redshift, Amazon Athena, MongoDB, Apache Hive), interest in server architectures and monitoring, very good knowledge of Python or Java as well as SQL / NoSQL, initial experience with container solutions (e.
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Lead the migration of our on-premise SQL Server data warehouse to a suitable AWS solution (e.g., Redshift, Athena). We are seeking a talented and highly motivated individual to join our growing Data & Analytics team and lead the migration of our data warehouse from on-premise SQL Server to AWS. This role will support both the on-site and virtual businesses.
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Experience with the following technologies: Distributed Processing (Spark, Hadoop, EMR), traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata), NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan.
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Skills Required: JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications and AWS. JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications.
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Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift). 5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
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Works with Opeeka development team and is responsible for developing and evolving SQL server databases to support data collection and data mining necessary for Opeeka’s P-CIS analytics and reporting.
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Databases - AWS Redshift, AWS RDS MySQL, AWS DynamoDB, Oracle, SQL Server. Strong proficiency in AWS Redshift and data warehousing concepts to perform ELT using advanced SQL transformations.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Experience with Big Data Technologies (NoSQL databases, Hadoop, Hive, Hbase, Pig, Spark, Elasticsearch, Databricks, etc.
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C# Full-stack Developer (with SQL Server, SSIS, SSRS experience) - LOCAL CANDIDATES ONLY. Position : C# Full-stack Developer (must have strong SQL Server development experience including SSIS, SSRS.
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Experience and understanding of Relational Database Management Systems (AWS RDS, MS SQL Server, Postgres, Oracle etc. Develop and Maintain ETL/ELT packages using SQL Server Integration Services (SSIS) that handle large, complex data sets from various sources.
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