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Analyse on premises/ Azure transactional database environments such as Oracle, SQL Server, COSMOS, MySQL, PostgreSQL, MongoDB, Cassandra evaluate and plan migrations to Azure. Skills: Azure Migration, AZURE, Cassandra, MongoDB, PL/SQL, Architect, Oracle Database.
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Develop and maintain database schemas, queries, and data processing pipelines using Databricks. Knowledge of relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB, etc. Experience with front-end development using HTML, CSS, and JavaScript frameworks (e.g., React, Angular, Vue.js.
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Solid understanding of database technologies, including SQL and NoSQL databases (e.g., MySQL, MongoDB, PostgreSQL). Hands-on experience with frontend development using HTML, CSS, JavaScript, and modern frontend frameworks/libraries (e.g., React, Angular, Vue.js.
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Database: Relational (Oracle, DB2, MySQL/MariaDB, PostgreSQL, MSSQL Server), non-relational (Cassandra, Couchbase, MongoDB, DocumentDB). Security: Compliance, Information Assurance, Data Protection using industry-best practices and tooling (Crowdstrike Falcon, Tenable.io, Splunk Phantom, HashiCorp Vault signers, SHA1 and SHA2 certificate management.
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No-SQL Database: MongoDB, Relational Database and Persistence: Hibernate (Object/Relational Mapping), JPA, JDBC, Oracle, PL/SQL, Query Performance Tuning. CI/CDTools Junit, Mockito, Karma, Jasmine, Maven, Jenkins, Nexus, Puppet, Linux/UNIX Shell Scripting.
$70 - $85 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Required: Database experience using MongoDB or MariaDB ; including deployment and management of the database itself, debugging of optimization issues, and scaling. Support the development and test of various Python based ReST end points, microservices, and data model management capabilities utilizing Django and Flask frameworks to interact with data models such as mariaDB, MongoDB, and PostgreSQL and send data upon request, in JSON format, to UI front ends.
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3+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena. Skills: Apache Spark, DynamoDB, MongoDB, NoSQL, Java , Scala, big data pipelines.
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Experience with database technologies (Oracle, DB2, UDB, and/or SQL Server) and/or NoSQL (MongoDB) databases. Our well-known banners include Albertsons, Safeway, Vons, Jewel-Osco, Shaw's, Acme, Tom Thumb, Randalls, United Supermarkets, Pavilions, Star Market, Haggen, Carrs, Kings Food Markets, and Balducci's Food Lovers Market.
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Databases: Building optimal database persistence solutions using right database technologies (ex, PostgreSQL, MongoDB, Elasticsearch, Redis, KAFKA etc.) 4 years of experience in database technologies.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Proven experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Oracle Cloud Infrastructure (OCI), and database management systems like MySQL, PostgreSQL, SQL Server, MongoDB.
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In-depth knowledge of various database management systems (DBMS) such as relational databases (e.g., Oracle, SQL Server, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data services (e.g., Amazon RDS, Azure SQL Database.
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Familiarity with database and SQL-based technology such as Oracle DB, PostgreSQL, and NoSQL stores a benefit, e.g. Cassandra, MongoDB, and data lakes such as Snowflake. Monitors effective language codes, processing routines, hardware use and use of database management techniques.
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You have experience or a good understanding of:- Hadoop-based technologies like MapReduce, Spark, Hive, Presto and Pig- SQL-based technologies like Oracle, PostgreSQL and MySQL- NoSQL technologies like Cassandra and MongoDB- data warehousing solutions and relational database theory- industry-standard software APIs. You have good verbal and written communication skills and can translate technical subject matter to non-technical audiences.
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Extensive expertise in one or multiple database management systems (DBMS) such as Oracle, Microsoft SQL Server, MySQL, PostgreSQL, or MongoDB, encompassing tasks such as installation, configuration, maintenance, and troubleshooting of these systems.
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