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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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Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake and more. Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
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And SQL, TensorFlow, Keras, PyTorch, and Apache Spark and Hive. Previous experience with high-level programming languages such as SAS, R Statistical Programming Language, SPSS, C/C. Required: Master of Science (with 5 years of experience) or entry-level Doctorate in the computational and data sciences including statistics, artificial intelligence, biostatistics, bioinformatics, and statistical genetics.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA.
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Must have experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R) Learn and demonstrate mastery across a wide variety of data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
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Big Data Technologies: Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Stream Processing: Tools like Apache Kafka, Apache Flink, or AWS Kinesis.
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Experience working with Apache Spark and Databricks environments. Experience working with Apache Spark and Databricks environments. Implement best practices for infrastructure as code (IaC) using tools like Azure Resource Manager templates, Terraform, or Bicep.
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Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks. Design and deploy scalable and secure Azure infrastructure solutions for our data platform, including Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and other related services.
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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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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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Familiarity with big data technologies such as Apache Spark is a plus. Experience working with data streaming technologies like Apache Kafka or Amazon Kinesis. The ideal candidate will have a strong background in data engineering and be proficient in using the ELK (elastic, kibana, logstash) stack and Databricks for data processing and analytics.
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5+ years of experience developing BI/DW solutions in Informatica PowerCenter or similar tools like IICS, Microsoft ADF, Apache Spark, Talend, but not limited to architecture design/development with the ability to resolve issues quickly and efficiently.
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Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.) Work experience with Apache Spark or other big data tools (Databricks, Presto, Data Lake, etc.
$139,100 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred] Experience working with Apache Spark to process large-scale distributed datasets. 4+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.
$124,800 - $220,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink. Data Orchestration: Orchestrate and schedule data pipeline workflows using workflow management tools and frameworks (e.g., Apache Airflow, Luigi, Prefect.
$140,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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