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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. In-depth knowledge of Apache Spark and Databricks architecture.
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Software Engineering/Data Engineering: data ingestion, streaming technologies - such as Spark Streaming and Kafka, performance tuning, troubleshooting, and debugging Spark or other big data solutions.
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Job Segment: Software Engineer, Cloud, Pipeline, Power Plant, Engineer, Engineering, Technology, Energy. Experience in large scale data processing and distributed systems such as Apache Spark.
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Experience with data management technologies such as Databricks, Apache Spark, Hadoop, Kafka. The Senior Machine Learning Engineer will work on building AI/ML solutions across a wide range of business applications.
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Architect, design, develop and maintain data engineering solutions primarily utilizing Python, SQL and Apache Spark based platforms. SQL and Apache Spark. The ideal candidate should have strong experience in Applications Architecture, Data Engineering, Design and Development and have prior tech lead experience.
$110,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Proficiency in designing and developing ETL processes and data pipelines using tools like Apache Spark, Apache Kafka, Airflow, or similar technologies. Your expertise in data engineering, database management, and data integration will be critical in delivering high-quality solutions that meet our client's needs.
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Proficiency in data engineering tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL. Work with data engineering platforms and tools such as Databricks, Apache Spark, Delta Lake, MLflow, and SQL.
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Fundamental knowledge of data engineering technology stack or platforms including but not limited to Apache Spark, Kafka, Hadoop, Distributed Computing or similar big data applications/platforms is desired but not mandatory.
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Java and variety of web development and data science technologies including Angular, SQL, OpenShift, Apache Spark, and other. Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science.
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5+ years of experience developing scalable ETL and ELT workflows using Apache Spark, Apache Airflow, or Apache Flink. As a lead big data engineer at Booz Allen, you’ll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects.
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In this role, you will help architect and implement our ML strategy and data processing pipelines using Redshift, Apache Airflow, Apache Spark, and AWS SageMaker. Proven experience with Redshift, Apache Airflow, Apache Spark, and AWS SageMaker.
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Experience with big data and streaming technologies like Apache Kafka, Apache Spark, and Data Lakehouse. BS in Engineering, Computer Science or related discipline. Our team uses a modern tech stack including Kafka, Spark, Java/ Scala/ Python, Kubernetes, Docker, ArgoWF and Data Lakehouse.
$150,000 - $215,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6+ years of experience with Big Data technologies, including Apache Spark , AI, Data Science, Data Engineering, Hadoop, Cassandra, and others. ~ Lead your clients through evaluating and adopting Databricks including hands-on Apache Spark programming and integration with the wider cloud ecosystem.
$200,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Unity Catalog, Delta Tables, Delta Live Tables, Cluster Provisioning, Apache Spark, and Databricks Job Submissions. Azure Cloud Engineer. Software Engineering and Software Development background is preferred.
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Extensive hands-on experience with commercial and open-source software solutions like Python, Spark, Hive, AWS EMR, S3, Apache Druid, Snowflake. DISH Wireless is looking for a Python Developer – Wireless Systems Engineering based in Littleton, Colorado.
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solutions engineer computer engineering apache spark jobs Company: Apple in Vienna, West Virginia
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