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You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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Our direct client is seeking a Big Data Engineer for a 6-month contract-to-hire opportunity with their Newark, NJ location. AWS Solutions Architect or AWS Big Data Certification preferred.
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Big Data Architect – FX Trading. Demonstrated understanding of enterprise data warehouse, big data, BI & analytics, content management and data management. Facilitate the establishment and execution of the roadmap and vision for information delivery and management, including the enterprise data warehouse, big data, BI & analytics, content management and data management.
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Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, etc.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Algo team. Onboard datasets, explore data, and automate tasks using a modern Python data stack.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Big Data Technologies - Apache Spark, Apache Kafka, Apache Flink. Strong knowledge of data warehousing, big data technologies, cloud platforms, and ETL processes. Minimum of 4+ years of experience in data engineering, focusing on DataBricks and/or Snowflake.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Experience with cloud-based data solutions (e.g., Azure, AWS, or GCP), programming (e.g., Python, R), Linux systems, and big data technologies (e.g., Hadoop, Spark). Lead the transformative integration of modern data engineering practices with health informatics to define the next era of timely and effective public health strategies.
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Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Experience with reliability engineering specifically in areas such as data quality, data observability and incident management.
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. Experience with common data science tools such as Python, R, Pytorch, TensorFlow, Keras.
$125,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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big data jobs Title: technology lead Company: Change Healthcare in New York, NY
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