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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Diplômé·e d’études supérieures dans le système d’information, computer sciences, big data (école d’ingénieurs, école spécialisée ou équivalent universitaire), vous justifiez d’au moins 5 ans en Data engineering.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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We’re looking to expand our Big Data Engineering team to keep pace. 5+ years’ experience in large-scale software development/Big Data technologies. Client is embracing Big Data technologies to enable data-driven decisions.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Design and implement distributed data processing pipelines using Spark, Hive, Python, Airflow, and other tools and languages prevalent in the Hadoop ecosystem. You will be working on projects that build data artifacts to answer questions about consumer behavior, commerce trends, consumer touchpoint preferences and more.
RemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Take part in DevOps by building utilities, user defined functions and frameworks to better enable data flow patterns. You will collaborate with Product managers, Data Scientists, Engineering folks to accomplish your tasks.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. Experience and working knowledge of enterprise tools, MDM, and Big Data products like Informatica, SAP SAC, Oracle, Tableau, Salesforce, etc.
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Develop, debug a, and support applications and data pipelines for big data analytics platforms in Azure Databricks, Kafka, Neo4j. Demonstrated analytical and problem-solving skills, particularly those that apply to a “Distributed Big Data Computing” environment.
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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
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Big Data Technologies: Strong knowledge of big data technologies and frameworks, such as Apache Hadoop, Apache Spark, Apache Kafka, Apache Hive, or Apache Flink. Understanding of big data technologies such as Hadoop, Spark, and related ecosystem components (e.g., HDFS, Hive, Pig.
$190,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Design, Develop, Modernize/Migrate pipelines to Databricks. US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. Programming skills in Java/Scala, Python, Shell scripting, and SQL.
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big data jobs Company: Indeed
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