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Hands-on technical experience with big data systems including experience in designing and implementing large distributed systems. The MEGDP serves many use cases including regulatory reporting, analytics, and data science.
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Experience with machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular. Expertise in machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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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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We are seeking an experienced Software Engineer with expertise in Java, Python, SQL, Postgres, Object-Oriented programming concepts, DevOps using AWS, data engineering, and building microservices to join our team and contribute to our success.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Data bricks, Snowflake, Data Stage, ETL, Tableau, QlikView, AI/ML techniques, Core Java, Impala, Hive etc.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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On Development on AWS/Azure/GCP, Java, Kafka, REST/JSON, Spring, Data platforms and API platforms. The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscalers (AWS, Azure, GCP) and industry standards with solid coding and design skills.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
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Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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Collaborate with Product, Data Science, and Customer Success teams to design, implement, and maintain large scale data products. We work with many other groups including product, data services, and client success.
$124,000 - $204,250 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Formal training or certification on software engineering concepts and 3 + years applied experience using Java, Scala and/or Python. Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development.
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3-5 years of strong hands-on expertise on Cloud (AWS/Azure/GCP) with strong experience in working with modern data and analytics frameworks, big data, and DevOps techniques, and is proficient with programming languages (like Python, Java, Scala.
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Is setting a new standard in big data and FinTech and we are looking for a Staff Engineer? Hands on coding experience in platforms primary technology stack i.e. proficient in Java (potentially Kotlin), Javascript, React.
$170,000 - $255,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago
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