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Cerner, Meditech, CPSI, Allscripts, EPIC, McKesson, NextGen data integration experience a plus. Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscale's (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr.
$125,760 - $188,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We need two senior (10+ Years) Apache Kafka developers with experience in AWS MSK (Amazon Managed Streaming for Apache Kafka) as well as Well-versed on MSK Connect and Kafka Connect for integration with RDBMS, using JDBC connectors and Hands-on experience in Terraform.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Job Description We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Familiarity with data platforms and tools like Hadoop, Pig, Hive, Snowflake, Spark, Tableau/Power BI etc. 15+ years of experience in data architecture, data integration and analytics with a significant focus on Palantir Foundry.
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As a Palantir Foundry Architect, you will be responsible for designing, developing and maintaining data-driven solutions that leverage Palantir Foundry's platform to address complex business challenges.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging (SQS, ActiveMQ, RabbitMQ), Caching (Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
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Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering.
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Implement data ingestion and processing with the help of Big Data technologies. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
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Looking for a Data Engineer with SQL, Python, ADF, Databricks, Kafka and ideally Snowflake experience to work 100% remote. 4+ years of enterprise data warehouse development with SQL, Python, Azure Data Factory (ADF), Azure Databricks, Kafka, and ideally Snowflake experience.
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Plus, they should know about deploying Kafka MRC and using monitoring tools like Logic Monitor and Splunk. Pilot Kafka data replication between AWS and On-Prem. Work in the DevOps team, to build new shared infrastructure services for on premises failover environment: Kubernetes, Vault, S3, Kafka, Databases.
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