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Senior Software Engineer with backend / distributed systems / large scale and database/data processing or data streaming centric background and coding skills in at least one of Go, Golang, Python, Java or C.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Our global teams work together, iterate constantly, and solve complex problems to help our 15,000+ customers deliver beautiful customer experiences powered by happy teams and healthy software.
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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. You're a self-driven, highly skilled AI Infrastructure Engineer with expertise in designing, architecting, and productizing computer vision or other AI systems in cloud and on edge.
$123,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in data modeling, data warehousing, data processing frameworks (Spark, Hadoop), real-time streaming technologies (Kafka), and AI/ML platforms (TensorFlow, PyTorch). Architect and design scalable software applications, data platforms, data pipelines, automation systems, system integrations, and AI/ML algorithm outputs that integrate cohesively to deliver Salesforce business outcomes.
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Experience with big data technologies and platforms such as Hadoop, Spark, AWS, CGP, or Snowflake. The ideal candidate will have a solid background in machine learning and statistical modeling, The Lead AI/ML Engineer will play a key role in developing and implementing data-driven strategies to improve lead generation and lead scoring, customer segmentation, and marketing automation activities.
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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.
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Proficiency in programming languages such as Java, Python, or Scala, and experience with big data processing frameworks such as Apache Hadoop, Apache Spark, or Apache Flink. As a Big Data Engineer, you'll play a pivotal role in designing, building, and maintaining our big data infrastructure and platforms.
$150Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. Also as the Principal Data Engineer, you will lead design and development of enhanced data pipeline services.
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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Direct experience with PostgreSQL, Cassandra, MongoDB, Hadoop, HDFS, HBase, Pig, Hive, Redis, MemcacheD, and Redshift is a plus. You'll be joining one of these squads and working most closely with each engineer and product manager within the squad.
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Proven track record of results as a Principal Engineer level or above in a large engineering organization at a top-tier tech company. As a Principal Engineer, you will be working closely with all the engineering teams within the XPOS organization and help them define the long-term technical vision, e.g. APIs and frameworks that support our mobile applications, Square Dashboard experience on the web, etc.
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Familiarity with one or more Hadoop technologies (Hive, Impala, Spark SQL, Presto). Architect, design, and build a big data infrastructure platform, primarily based on Hadoop technologies on the Azure cloud platform, ensuring that the data lake meets specific minimum availability and security thresholds.
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Experience working with: Hadoop, Spark, Kafka, Scala, Python, R etc. Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
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As a Sr Principal Software Engineer within the Identity Engineering organization, you will be responsible for: identifying, or introducing best practices within the organization; setting technical, and architectural direction across the organization; helping squads, and individuals execute on that direction; and providing subject matter expertise to help accelerate project delivery.
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hadoop job Title: principal software engineer Company: Panalgo in San Francisco, CA
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