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Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience with data pipeline and workflow management tools: Apache NiFi, Informatica, Talend, DataStage, Alteryx, etc.
$110,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Expertise in complex data pipeline management with IaC (e.g., Terraform.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Effective management of frequency of feedback loop with offshore resources. Conduct descriptive statistical analysis to uncover data insights based on subscriber patterns, user content consumption, and customer behavior trends.
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Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
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Support Data ingestion pipelines, data processing workflows, and data storage solutions using GCP services such as Cloud Storage, Big Query, Dataflow, Composer etc. Optimize data structures and queries for performance and scalability as problem management for long running jobs.
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Experience in large data processing and handling is a plus—familiarity with big data platforms and applications, such as Hadoop, Pig, Hive, Spark, AWS. Oversee credit risk, fraud risk, and line management models which include evaluating conceptual soundness, data quality, performance validation, and on-going monitoring.
$38.45 - $87 an hourInternExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with a combination of Spark, Databricks, Snowflake, Redshift, Data Lakes, data products, Cloud Based Big data technologies and handling Metadata. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. Minimum 6 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Familiarity with DBA activities, master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets.
$117,300 - $195,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of big data platforms such as Apache Spark, Hadoop, Apache Fink or AWS engineering. Certified Scrum Product Owner (CSPO) or similar Agile certifications, and certifications related to data management or banking technology.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience (including MS program or PhD program) working with large data sets (e.g. using big-data tools like Spark, Horovod, Petastorm) or doing large scale quantitative analysis and predictive modeling work.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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Architect, design, and build big data processing platforms handling tens of TBs/Day, serve thousands of clients, and support advanced analytic workloads. You apply state-of-the-art technologies, frameworks, and strategies to address complex challenges with Big-Data processing and analytics.
ExpandApply NowActive JobUpdated 6 days ago
big data processing management jobs in New York
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