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Working experience with Spark distributions: Databricks, AMS EMR, GCP Dataproc, Azure Synapse Analytics. You will work with an engineering team accelerating Apache Spark with GPUs using CUDA and open source libraries.
$216,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
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Tech Skills - Scala, Spark, GCP, Dataproc, Hadoop, Airflow, SBT, Maven, Docker, Kubernetes, pyspark, Jenkins, Bigquery. Experience running spark/Hadoop workloads using Dataproc, Dataflow, Cloud composer, EMR, HD Insights or similar.
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Proven working expertise with Big Data Technologies Spark, PySpark, hive, and SQL. Knowledge and experience in Kafka, Storm, Druid and Presto. Experience with workflow management tools such as Jenkins, Airflow.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Spark Power, a trusted partner in energy in North America, is looking for a Solar Technician to join our team. Spark Power is the leading independent provider of end-to-end electrical services and operations and maintenance services to the industrial, utility, and renewable asset markets in North America.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in leading and managing efficient data processing and analysis.
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. AWS Cloud Practitioner or more advanced AWS certification preferred. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This implies, among others, writing software in Scala/Java, building data pipelines (Apache Spark, Apache Kafka), integrating with third-party applications, and interacting with cloud APIs (AWS, Azure, CloudFormation, Terraform.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Solar Technician - Utility Site Overview: Spark Power is a leading independent power solutions provider to the electrical service industry across North America. Communicate with the Spark Power Renewable Operations Center (ROC) in regard to site outage and performance analytics.
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Our tech stack includes AWS, Databricks, Snowflake, Spark and Airflow. AWS, Databricks, Snowflake,Spark and Airflow. End to end data and analytics solutions design experience using cloud technologies- AWS S3, Spark, EMR, Data bricks, MPP databases, Redshift/Snowflake right from Ingestion to Transformation to Consumption using various methods including API delivery Minimum Qualifications: Graduation/Bachelor’s.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience with building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming.
$160,000 - $280,000 a yearFull-timeExpandUpdated 14 days ago - UpvoteDownvoteShare Job
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Write sophisticated and efficient code to transform raw data sources into easily accessible models by coding across several languages and tools such as SQL, Python, Spark, Databricks, Airflow, Azure, AWS, etc.
ExpandApply NowActive JobUpdated 3 days ago
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