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Job Title: Big Data Engineer. 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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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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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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Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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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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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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Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Algo team. Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus. 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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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). As a Data Infrastructure Engineer on our Integrated Public Health Infrastructure team, you will play a pivotal role in enhancing our data infrastructure, crucial for our advanced public health analytics efforts.
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Experience with big data technologies like Trino, Spark, Hadoop, Airflow, Kafka. Vantage is looking for a software engineer to be the foundation to our data platform efforts.
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Experience in big data technologies like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto, etc. Audit Roku’s Data Warehouse and Big Data Platform for compliance with GDPR, CCPA and other data privacy regulations.
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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
big data jobs Title: devops engineer Company: Crowdstrike in New York, NY
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5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
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