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Required skill set : Strong SQL Server , SSIS ( or any ETL tool), Strong knowledge on DWH concepts, Azure is mandatory With average skillset ( ADF, Databricks and Power BI) SSIS; Data Architecture and Modeling; SQL Server;ADF; Power BI.
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Experience in developing & building high to medium complex data pipeline for Enterprise Data Hub using ADF, Databricks, dbt, Azure Cloud Services, MS SQL Server ADW/DB, Python, Pyspark, Devops.
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Utilize Databricks for big data processing and streaming analytics. + Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. The Cloud Data Engineer plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms.
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Cloud Data Engineer. Leverage AWS cloud services like S3, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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Required Qualifications : This position requires a Bachelor's degree in Electronic Engineering, Computer Science, Information Technology, or related technical field plus seven (7) years of experience in the job offered, Big Data Engineer, Hadoop Engineer, or in a related position involving software engineering experience.
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Hands-on with advanced Bigdata technologies like Hadoop, Spark, Scala, Hive, SQL and NoSQL. Experience with Public cloud technologies such as AWS, Databricks is big plus Ability to quickly learn and implement new technologies.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Using tools such as SQL, DataBricks, Talend, Python, Microsoft Power Platform and Azure Data Factory. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Experience with Databricks and Snowflake for complex pipelines, AI/ML and Gen-AI use cases. Good experience with analytic databases like Snowflake or Databricks. Experience with Angular, PySpark, Hadoop, Spark, Hive, Kafka, HBase, Elasticsearch, OpenSearch, Apache, and programming languages such as Java, and Python.
$125,000 - $160,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Platforms: Proficient in Azure, including Azure DataBricks, Azure Data Factory, and Azure SQL Data Warehouse preferred. As NFM’s Senior Cloud Engineer, is responsible for any technological duties associated with cloud computing, including design, planning, management, maintenance, and support and will be responsible for designing, building, and managing our cloud-based data infrastructure.
$86,260 - $138,906 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This role will be responsible for the day to day support of Oracle Database & SQL Server Exadata infrastructure platform operations processes, including on Cloud platforms, ensuring all technology SLA's/OLA's are met, driving platform availability.
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Hadoop/Big Data/Databricks Certifications. Manage Azure Data Factory, Azure Functions, Databricks, Key Vault, Azure Blob storage, and Azure DevOps. Proficiency in SQL and data warehousing.
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Familiarity with data pipelines and orchestration frameworks (Spark, Hadoop, Databricks, Airflow) Our Data Platforms team is seeking a highly motivated Software Engineer with a strong technical background who is passionate about designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions.
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