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Job Summary: We are seeking a talented and experienced Software Engineer to join our team at JLL. As a Software Engineer, you will be responsible for designing, developing, and maintaining software solutions that leverage Azure, Databricks, Azure Kubernetes, Microservices, and Data Pipeline using PySpark.
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Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena) As a Senior Data Engineer you will contribute to the vision for data architecture and data quality across multiple company verticals.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Practical understanding of relational databases (SQL) and large-scale distributed systems (Hadoop, Snowflake, Databricks) Experience working with big data environments (Hadoop, Spark) and manipulating/analyzing complex clickstream or unstructured data using Python/SQL.
$183,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Relational database query experience, including writing/optimizing complex queries against distributed data stores such as Aurora, Hadoop, Hive, Oracle, and Snowflake. Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
$102,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt’s data platform.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Deep expertise in modern software engineering practices, including agile methodologies, test-driven development, and continuous integration/deployment.
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Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc. Working with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies on a modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Understanding of software security best practices, including threat modeling, secure coding, and compliance requirements. Familiarity with agile software development methodologies, including Scrum, Kanban, and Lean practices.
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Big data technologies like Hadoop (Hortwonworks, Cloudera, Azure HDInsight, Amazon EMR), Spark, Kafka, Elasticsearch and others; Application of technical knowledge to understand existing environments, current and emerging technology trends, software packages and technology vendor marketplaces.
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Hadoop: Experience with storing, joining, filtering, and analyzing data using Spark, Hive and Map Reduce. As a Lead Machine Learning Engineer, ML platform you will operationalize innovative ML solutions and work alongside other team members like product manager, Enterprise architect, Principal ML Engineer, Data scientists and business to architect, design, build ML pipeline and productionalize ML models.
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Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Hadoop, S3, AWS, Google Cloud etc. We are also the engine that drives a fully functional world class data warehouse on top of Hadoop, this means providing tools to define data cubes and syncing high load of data from a processing Hadoop to other systems using in-house built Applications.
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The ideal candidate has made impactful contributions to open-source projects such as Apache Spark, Apache Iceberg, Apache Hadoop, Apache Hive, DeltaLake, or Trino, and has a passion for open-source projects and communities.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with distributed systems, databases, and big data systems (Apache Spark™, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago
hadoop job Title: software engineer Company: Panalgo in San Francisco, CA
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