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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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Expertise in SQL (MySQL, Postgres SQL) and NoSQL databases (Mongo DB, Cassandra, Azure Cosmos DB), as well as Distributed Databases or Big Data solutions (Apache Spark, Cloudera, Vertica.
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The Senior Big Data Software Engineer is responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies.
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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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Expertise in Big data technologies such as Spark, Hadoop, Databricks, Snowflake, EMR, Glue. The Databricks Software Engineering Senior Advisor (Software Engineering Senior Advisor) demonstrates expertise in data engineering technologies with a focus on engineering, innovation, strategic influence, and product mindset.
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More than 5 years of experience in software engineering, building data engineering pipelines, middleware, API development, and automation. This individual will act as a key contributor to the team to design, build, test, and deliver large-scale software applications, systems, platforms, services, or technologies in the data engineering space.
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Experience in multi-cloud software-as-a-service products such as Databricks, Snowflake. This individual will deliver data engineering toolchains, platform capabilities, and reusable patterns through a hands-on engineering approach in the Databricks environment.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Experience with backend development (e.g., NoSQL databases, AWS, analytics, and exploring data in a big data environment like Dynamo, Kinesis, Redshift, etc.) Talis is hiring a Services Architect / Lead Software Engineer to develop live-ops features for an exciting early-stage game studio.
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Key Qualifications: 3+ years of experience building enterprise level applications on large-scale distributed systems Knowledge of BI concepts and implementation experience on Cloud with databases like SnowFlake, Big Query, Cloudera Understanding of fundamentals of object-oriented design, data structures, algorithm design, and problem solving Programming experience in building high quality software.
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Experience with Scala, AWS, NoSql, Statistics, big data, Apache Spark. The candidates should have demonstrated knowledge and interest in Bioinformatics, Data Engineering and Software Development.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Proficiency in major big data frameworks, such as Akka, Spark, Flink, Hadoop/Hive and others.
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Experience designing and developing Big Data processing solutions using Dataflow/Apache Beam, Bigtable, BigQuery, PubSub, GCS, Composer/Airflow, and others. The MFT team is searching for a Senior Software Engineer to work on development, support, and enhancements to our MFT platform.
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Senior Java/Big Data Developer – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management.
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Knowledge of one or more of the following Computer Science disciplines: parallel programming, embedded systems, high performance computing, scientific data analysis, machine learning, systems programming, software engineering, and big data technologies.
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