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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Job Description We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Integral team member of our Data Engineering team responsible for design and development of Big data solutions Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Snowflake Responsible for delivering data as a service framework.
$125,760 - $188,640 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data/lake house technologies (e.g., Hadoop, Spark, Databricks) is highly desirable. Proven experience (5 years) as a Data Architect, Data Engineer, or in a similar role within the insurance industry or financial services sector.
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Experience with the following tools and technologies: -Hadoop, Spark, Hive, Elastic Search -Experience with various database and big data -Google Cloud DataFlow, Apache BeamAbility to develop and write technical specifications.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. We are looking for someone with a good blend of business consulting skills and a data analytics background.
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Experience working with big data tools: Hadoop, Spark, Kafka, etc. Relevant working experience with Docker and Kubernetes is a big plus Review and integrate all application requirements, including functional, security, integration, performance, quality and operations requirements.
$65 - $70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as Hadoop, Spark, or cloud-based platforms like AWS, Google Cloud, or Azure. We focus on an "AI First" mindset and are helping clients tackle unique and challenging problems with a full suite of AI tools (Generative AI, "traditional" AI, machine learning, and data science.
$165,300 - $264,480Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Amazon seeks an experienced Data Engineer to play a key role in the development and implementation of a comprehensive financial reporting platform to support the Worldwide Amazon Stores.
$139,100 - $240,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong analytical skills with a methodical approach to problem solving applied to the Big Data/AI domain. 4+ years of hands-on experience in designing, building, testing and deploying data pipelines in Teradata and Hadoop platform with experience in, HDFS, Hive, Spark, Streaming, HBase, Kafka, Oozie etc.
$55 - $60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies (e.g., Spark, Hadoop) As a Data Engineer , you will be responsible for designing, developing, and maintaining the data infrastructure to support our industry-changing, data-driven services.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. We are seeking a skilled Cloud Data Engineer to join our team for a long-term contract engagement.
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We are looking for a results-oriented, driven Big Data who can design and develop services that enable customers to self-serve data access for analytics and transaction systems on a multi-petabyte data lake.
$81,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Big data tools: Databricks, Spark, Hadoop, Kafka, etc. Collect, organize, and analyze data on a large scale. Data pipeline and workflow management tools: Azure Data Factory, Oozie, Azkaban, Luigi, Airflow, etc.
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