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Exhibit expertise in Azure Databricks, Azure Data Lake, Ansible, SQL, Terraform, Kafka, and Azure CLI.Apply hands-on development experience using Databricks, with proficiency in Azure, AWS, or other cloud technologies.
$75 - $76 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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Design and build high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka and object storage architecture. Effectively work in a hybrid environment where legacy ETL and Data Warehouse applications and new big-data applications co-exist.
$69.5 - $78.31ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Your future duties and responsibilities: As a full time, member of the Solution Architecture team, the Software Architect serves as a subject matter expert for large scale system implementation in one or more areas of the architecture: Application, Technology, Security, Information/Data and DevSecOps•Identify and evaluate current systems for opportunities to improve architecture roadmap that maximizes the use of advanced technology and seek to further modernization objectives.
$228,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You’ll DoBuild backend end services using technologies and languages including but not limited to: Java, Springboot, Spring Web flux, PostgreSQL or any Relational database, Cassandra, Mongo or any NoSQL database, Kafka.
$175,400 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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You will lead a team with a wide range of technical skills which include ETL tools, Python and Big Data, Cloud Data Engineering like HIVE, Spark, BigQuery, Snowflake and data analysis and modeling skills (SQL, ERwin.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The Principal Site Reliability Engineer (SRE) role on our dynamic SRE team is a subject matter expert and SRE professional, with key focuses in analyzing complex data and distributed systems, anticipating problems.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
Full-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Architect role at Canonical.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Knowledge of Amazon Kafka for real-time data streaming and processing. Experience with Microsoft Dynamics 365 Finance & Operations (D365 F&O), especially with Data Management Framework (DMF) and OData protocols.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse.
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Implement real-time data processing solutions using Spark, ETL pipelines, and Kafka for streaming data ingestion and processing. Experience working in the banking or fintech industry, with a deep understanding of deposits and customer data systems.
Full-timeExpandApply NowActive JobUpdated 2 months ago
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