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Erwin Jobs

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🔥 Data Architect
Posted 14 days ago

📍 Canada

🧭 Full-Time

🏢 Company: Top Hat👥 251-500💰 $130,000,000 Series E about 4 years ago🫂 Last layoff about 1 year agoEducationEdTechMobileSoftware

  • 5 years of experience with data modelling in an agile work environment.
  • Profess in multiple modelling techniques.
  • In-depth understanding of database storage principles.
  • Expertise in SQL and MySQL.
  • Creation of ETL Specifications to satisfy product requirements.
  • Familiarity with ERwin data modelling tool.
  • Familiarity with big data systems like Hadoop, Spark and dbt.
  • Familiarity with database management systems like PostgreSQL, MongoDB
  • Familiarity with data visualization tools.
  • Analyze requirements and translate them to conceptual and logical data models for our applications and the data warehouse.
  • Optimize and/or perform migration on existing database systems.
  • Improve system performance by conducting tests, troubleshooting and integrating new elements.
  • Develop and maintain a data dictionary and metadata management strategy.
  • Develop and maintain data governance policies, procedures, and standards to ensure the integrity and accuracy of the data.
  • Coordinate with the Data Science and Revenue Operation teams to identify future needs and requirements.
  • Provide operational support for downstream business units.

PostgreSQLSQLAgileData AnalysisData MiningErwinETLHadoopMongoDBMySQLNosqlSparkAnalytical SkillsData visualizationData modeling

Posted 14 days ago
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🔥 Data Modeler - Remote Job.
Posted 4 months ago

📍 Latin America

🧭 Contract

🔍 Healthcare data management

  • Proven 5+ years of experience as a Data Modeler, particularly in clinical data.
  • Strong expertise in data modeling tools, especially Erwin or other similar tools.
  • Extensive experience in designing, implementing, and maintaining logical and physical data models.
  • Solid understanding of reverse engineering and synchronizing legacy data models.
  • Hands-on experience with repository management tasks (Model Merging, User Access, Model Version Management).
  • Advanced written and spoken English fluency.
Design, implement, support, and maintain relational database model systems.

ErwinData modeling

Posted 4 months ago
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🔥 Senior ETL Data Engineer
Posted 4 months ago

📍 United States

🧭 Full-Time

🔍 Information Technology

  • Bachelor's degree in computer science or related field.
  • 5+ years of experience using Informatica PowerCenter for development.
  • 7+ years of relevant ETL development support and maintenance experience.
  • Strong SQL skills, preferably with Oracle.
  • Proficiency in shell scripting, with knowledge of Linux environments being a plus.
  • Experience with BI best practices and data modeling tools like Erwin.
  • Excellent analytical and communication skills.
  • Create, maintain, and reverse engineer ETL procedures for the Data Warehouse using Informatica PowerCenter.
  • Analyze RDBMS tables and PowerCenter objects for data transformation queries.
  • Manage changes to ETL, scripts, and scheduling components across environments (Development, Test, Production).
  • Collaborate with users to identify needs for data delivery.
  • Convert business requirements into specified ETL, analyses, reporting, and visualizations.

SQLAgileBusiness IntelligenceData AnalysisErwinETLOracleSalesforceSharePointJiraRDBMSCommunication SkillsLinuxWritten communicationDocumentation

Posted 4 months ago
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🔥 Data Architect (Mid-Senior)
Posted 5 months ago

📍 Philippines

🔍 Technology services

🏢 Company: Umpisa Inc.

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 3-5+ years of experience in data architecture or data engineering.
  • Experience with relational and NoSQL databases such as MySQL, PostgreSQL, MongoDB.
  • Expertise in data warehousing and cloud-based data solutions like AWS Redshift and Google BigQuery.
  • Proficiency in data modeling techniques and tools such as ERwin.
  • Strong understanding of ETL/ELT processes and integration platforms.
  • Familiarity with big data technologies like Hadoop and Spark.
  • Knowledge of data privacy regulations like GDPR and CCPA.
  • Design and build scalable, flexible, and efficient data architectures.
  • Create conceptual, logical, and physical data models.
  • Oversee data integration strategies and implement ETL/ELT processes.
  • Establish and enforce data governance policies for quality and compliance.
  • Design data solutions integrating cloud and on-premise systems.
  • Ensure data security and compliance with regulations.
  • Collaborate with business leaders and technical teams to define data strategies.

AWSPostgreSQLAgileErwinETLHadoopKafkaMongoDBMySQLSCRUMSnowflakeApache KafkaAzureCassandraData engineeringNosqlSparkCommunication SkillsAnalytical SkillsCollaborationCI/CDProblem SolvingDevOpsAttention to detailTime ManagementDocumentationCompliance

Posted 5 months ago
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🔥 Senior Database Engineer
Posted 6 months ago

📍 India

🏢 Company: CloudHire👥 11-50RecruitingWeb DesignSoftware

  • 7+ years of experience with AWS (preferred), GCP or Azure.
  • 10+ years of experience designing, building, and supporting near real-time data pipelines and analytical solutions using technologies such as Postgres, Redshift, BigQuery, Hadoop, Teradata, MS SQL Server, Talend, Informatica, Power BI, and/or SSIS.
  • 10+ years of experience using object-oriented programming languages (e.g., .Net, Java, Python) for data delivery in near real-time and streaming analytics.
  • 10+ years of experience documenting business requirements and translating them into relational, non-relational, and dimensional data models using Erwin.
  • 10+ years of experience working in agile teams delivering data solutions.
  • 10+ years of experience developing Master Data Management (MDM) solutions.
  • 8+ years of experience delivering solutions on public cloud platforms, preferably Google Cloud.
  • Experience writing automated unit, integration, and acceptance tests for data interfaces and data pipelines.
  • Ability to quickly learn new technologies and determine their best applications.
  • Exceptional interpersonal skills, including teamwork, communication, and negotiation.
  • Integrate multiple databases together, including Snowflake schema, Star schema, and Network model.
  • Work with multiple message buses, such as Kafka and IBM MQ to targets like Redshift, Postgres, and MongoDB.
  • Discover appropriate workloads and utilize the right database for performance and functionality.
  • Design and deploy databases for scale based on request types.
  • Ensure database recovery with sequence and time constraints.
  • Collaborate with business and technology stakeholders to define future-state business capabilities and requirements, translating them into data architectures.
  • Partner with platform architects to ensure implementations follow principles, guidelines, and standards.
  • Analyze current technology environments for deficiencies and recommend solutions.
  • Design, implement, and maintain data services and interfaces, including real-time data pipelines using emerging technologies.
  • Develop continuous integration and deployment for data pipelines with automated testing.
  • Utilize workflow management platforms like Airflow.
  • Mentor and motivate the team to achieve organizational goals.
  • Advocate for agile practices to increase efficiency.
  • Maintain consistency with development standards.

AWSPythonSQLAgileErwinGCPHadoopJavaKafkaMongoDBSnowflakeAirflowAzureData engineering.NETPostgres

Posted 6 months ago
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