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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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Software engineering in Big Data experience. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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Big Data and Analytics: Will handle and analyze enormous volumes of data, Azure Data Engineers use big data technologies like Azure Databricks and Apache Spark.
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Our team is seeking a senior software engineer who will be a core team member for our advertising data platform engineering group. This engineering group focuses on big data infrastructure, operational data, audience solution, inventory forecasting and full funnel measurements as a foundation layer for addressable Ad Platforms.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). The individual will work in the capacity of a Senior Data Engineer focusing on the data deliverables for Business and Studio.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake, Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Utilize Databricks for big data processing, analytics, and machine learning workflows. Sr. Data Engineer - Azure & Databricks. You must be passionate about data engineering, possess a solid background in Azure and Databricks, and thrive in a collaborative and innovative environment.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Collaborate closely with product owners, software engineers, machine learning experts, and data scientists.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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The Cloud Data Engineer role will support our Cloud Data Management and Advanced Analytics platforms. Cloud Data Engineer (Hybrid) In this role, an employee will work with data services, data analysts and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high performing cloud-based architecture to enable and sustain data-driven decisions.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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big data jobs Title: big data software engineer Company: Ibm
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