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Showing 9 jobs
Skills:
Kafka, Sql, Spark, Python, AWS, Data Modeling, Dimensional Modeling, dbt, Incremental and idempotent transformation patterns, ETL/ELT pipelines, CDC-based ingestion, Slowly changing dimensions
Skills:
Power Bi, Azure Sql, Sql, Python, Git, Machine Learning, Data Architecture, Azure, Azure DevOps, Automated Testing, Microsoft Fabric, Generative AI, ERP integration, Ai, CI/CD, Microsoft Dynamics 365 Finance Operations
Skills:
data engineering , change data capture , Orchestration, Data Governance, Python, Sql, streaming ingestion, data quality testing, observability
Skills:
Performance Tuning, Scala, Data Modeling, Data Governance, Sql, ELT, Git, Azure Data Factory, Azure Functions, Azure Synapse Analytics, Python, Etl, Azure DevOps, Logic Apps, Azure SQL Data Lake Storage, CI/CD pipelines
Skills:
data engineering , Automated Testing, Microservices, Identity And Access Management, DevSecOps, Distributed Systems, Containers, Kubernetes, API-first design, NoSQL databases, event-driven integration, CI CD, ML AI engineering, cloud-native engineering, full stack application engineering, Responsible AI, domain-driven design, infrastructure as code, serverless patterns
Skills:
snowflake , Github, BigQuery, Kafka, Node.JS, Kotlin, JIRA, Microservices, Git, Typescript, Confluence, Presto, MySQL, Functional Testing, Debugging, Postgres, Spark, Python, Etl, Druid, service-oriented architectures, RESTful API design, SQL databases
Skills:
data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools, ETL pipelines
Skills:
containerization , Storm, Orchestration, Cassandra, Kafka, Informatica, Spark Core, Azure Cloud, Sqoop, Talend, Python, Java, Flume, Scala, Dynamodb, HBase, Kubernetes, Big Data Architecture Patterns, Flink, Pub Sub, Big Table, CI CD pipelines, Pulsar, NiFI
Skills:
Java, S3, Hadoop, Scala, Nodejs, Data Modeling, Emr, Data Governance, Redshift, Sql, Hive, Ec2, Spark, Python, Semantic layers, GenAI solutions, Dashboard data models, Big data pipelines, AWS Tools and Technologies, ETL pipelines
