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Expertise in Databricks, Apache Spark, and big data technologies. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript. Our main tech stack includes Snowflake, Apache Airflow, AWS cloud infrastructure (e.g., Kinesis, Kubernetes/EKS, Lambda, Aurora RDS PostgreSQL), Python and Typescript.
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Implement data security, governance, and compliance measures within Databricks using Unity Catalog. Design and architect scalable, high-performance, and cost-effective cloud-based solutions using Azure services and Databricks.
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Apache Kafka Trouble shooting skills Bachelor’s degree in computer science or a related discipline or equivalent experience with Oracle or similar relational database technologies Understanding of advanced physical database design concepts like database partitioning, denormalization, buffer pool tuning, and index optimization.
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Java, J2EE, RESTful services, JMS, Kafka, SQL, SOAP, Apache ACTIVEMQ. The Role The Site Reliability Engineer (SRE) will be closely working with Product Development team and be responsible for the overall reliability and availability of those applications.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with graph querying tools such as Apache Tinkerpop Gremlin, Apache Spark Graphframes, or graph databases. San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer.
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Hands-on experience with big data processing frameworks, such as Apache Spark. For instance, early morning/late evening hours to coordinate with teams in India Qualifications Bachelor's or Master's degree in Computer Science or related engineering field and deep experience with AWS infrastructure Strong experience in data engineering, specifically with AWS backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, EMR, and Athena.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.) Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.) Proficient in a statistical programming languages (R, Python, etc.
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Work with data integration tools such as Cloud Composer (Apache Airflow) and Dataflow. Work with data integration tools such as Cloud Composer (Apache Airflow) and Dataflow. Utilize GCP services including BigQuery, Cloud Run, Cloud Storage, Pub/Sub, and Workflows.
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Expert-level knowledge of containerization, orchestration, and workflow management technologies (e.g., Kubernetes, Docker, Apache Airflow) for deploying and managing complex ML pipelines at scale.
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Experience with technologies such as Swing, JGoodies, JMS, Apache Ignite, or other message-driven programming, Spring, and automated testing frameworks is highly desirable. Our unique, seamless, SaaS-based platform is reshaping the global investment operations landscape by removing traditional information boundaries and uniting the front-, middle- and back-office into one system, with one unified data set.
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Big data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS Kinesis. Big data - Hive, Spark, Hadoop, queuing system like Apache Kafka/Rabbit MQ/AWS Kinesis. design pattern, expert, maven, programming, senior, senior software developer, software engineer lead.
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Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes. Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark. Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security.
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Experience with high speed distributed computing frameworks like Apache Spark, Kafka Streams, Apache Flink etc. As a Systemically Important Financial Market Utility (SIFMU), OCC operates under the jurisdiction of the U.S. Securities and Exchange Commission (SEC), the U.S. Commodity Futures Trading Commission (CFTC), and the Board of Governors of the Federal Reserve System.
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apache job Company: Databricks in Chicago, IL
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