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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage. Primary focus on Java application development and enhancements using Java, Python, SQL, Snowflake DB, Databricks spark/Notebook, Azure Blob storage.
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Knowledge, Skills and Experience Google Cloud Platform (GCP) or AWS Scala, sbt, cats Airflow, Kubernetes Google Dataflow/Beam or Spark, SQL, BigQuery or similar data warehouse Key Responsibilities Serve as a Senior member of the team by contributing to the architecture, design, and implementation of EMS systems Mentor junior engineers and enable their growth Lead and drive technical projects.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Experience with Apache Spark. Minimum of 2 years of experience with Data Warehousing solutions (Snowflake, Databricks, Amazon Redshift, Google BigQuery, Cloudera, etc) Experience with Version Control and/or DevOps tools (Azure DevOps, GitLab, etc.
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Deep understanding of streaming data components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis. Demonstrate deep expertise in our core data streaming components, including Kafka, Spark, Hadoop, Presto/Trino, Flink and Redis in a low latency environment.
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Expertise in multiple technologies across software engineering (e.g. Java, Python, Golang), data architecture/engineering (e.g. Spark/Databricks, Snowflake, BigQuery/Redshift/Synapse) Expertise in multiple technologies across software engineering (e.g. Java, Python, Golang), data architecture/engineering (e.g. Spark/Databricks, Snowflake, BigQuery/Redshift/Synapse.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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6 years of experience must include: Apache Spark, Hive, Kafka; Scala, Python; Abinitio, Oracle; Cloud technologies: ORAAS, IBM S3 (Simple Storage Service); Intellij, Eclipse, SQL Developer, Arcadia, Tectia, Tableau, Hue, Jenkins, Sonar; OpenShift, Unravel, Cloudera Manager; and Red Hat Enterprise Linux 8, Tibco.
$162,000 - $205,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Python, Databricks, perl, spark , Kubernetes, dockers and other cloud native tools and technologies. Data warehousing, AWS Cloud Business, Intelligence, Informatica and Databricks(data flow design, development, enhancement and maintenance.
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4+ Experience with Kubernetes, Dask or Apache Spark. 4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Requirements: Requires at least a Bachelor’s degree, or foreign equivalent, in Computer Applications or related field and 6 years of progressive, post-baccalaureate experience as a Reports Analyst, Data Engineer, Module Leader, or related position involving Data Extraction (ETL), Data analysis and reporting in financial domain.
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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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Experience with Databricks and optimizing Spark clusters. Extensive experience with (py)Spark, Python, JSON, and SQL. The Senior Data Software Engineer, Tech Lead position in the Data Strategy team presents a chance to create and execute data products for the world's biggest and most reputable reinsurance brokerage.
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Experience with statistics/machine learning packages like TensorFlow, Pytorch, Scipy, Keras, Numpy, Pandas, or Spark MLlib. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain.
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spark job in Fort Lee, NJ
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