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Android Development, iOS Development, Data Science, Cyber Security, Big Data, Exchange Services, Career Development, Data Engineering, Managed Services, Consulting Services, Business Development, and IT Resources.
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. Data Hadoop Engineer. experience with REST API development using Python frameworks (Django, Flask.
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Big Data Hadoop Engineer. Hands-on experience in Big Data, Cloudera Distribution 7. Strong project experience in Big Data, Cloudera Distribution 7. Strong experience with REST API development using Python frameworks (Django, Flask etc.
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Responsible for the overall planning of the company's big data platform, technical route, system architecture design, development and implementation. Responsible for the work management and ability improvement of big data team members, and control the forward-looking technology direction to support future business development.
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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The ideal candidate will lead the design and development of data and analytics projects in a global setting, demonstrating proficiency in Microsoft Azure, particularly in Databricks, ADLS, Blob Storage, Data Factory, SQL Server, and Warehouses.
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The Engineer will be working closely with data scientists, data mining experts, and business partner supporting the design of experiments and analytics, data sampling and mining, verification of data quality and information integrity, and best practices around the development and deployment of predictive/prescriptive models, DevOps operational systems and practices, and data visualization solutions.
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Minimum 2 years of experience in development using Data warehousing, Big Data Eco System Hive (Hql) & Oozie Scheduler, ETL IBM Data Stage, Informatica IICS with Teradata.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelines.
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Job Description: As a Senior Machine Learning Engineer, you will lead the development and implementation of sophisticated data engineering solutions to support the deployment and optimization of AI models.
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Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Any level of experience with Lead design and development of the Big Data Analytics Platform by gathering requirements from the various stakeholders and converting it to technical design and implementation using various Big Data technologies like Apache Spark, Mapreduce, Mongodb etc and programming languages like Java, Scala, Python and build and maintain search related product using technologies including Lucene and Elasticsearch.
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Strong expertise in design and development on cloud data warehouses like Snowflake, Redshift, BigQuery and Big-Data platforms like Spark, Dremio, Hadoop, Hive. Apple is seeking an experienced, detail-minded data engineer to join our Worldwide Sales Team, Data Solutions & Initiatives (DSI.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Proficiency in design and development of custom ETL pipelines using SQL and scripting languages (Python/ Shell/ Golang) and workflow management tools like Airflow. DSI is a product strategy and engineering team that works closely with business development and sales finance.
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