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Strong technical skills required to extract, transpose, and analyze Big Data housed in Teradata and Hadoop using SQL and SAS/R/Python and output through advanced visualization tools including, but not limited to, Tableau/R/Python.
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5 - 7+ years of experience in Big Data Technologies, Predictive Analytics Frameworks, Cloud Computing Platforms, Data Architecture Design, DevOps, and Automation. Experience with Azure Data Lake, Azure Synapse, Data Factory, and Databricks.
$104,200 - $158,950 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous. Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
$56,000 - $66,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Technologies: Utilize big data technologies and frameworks, such as Apache Spark, Hadoop, or Kafka, to process and analyze large-scale data sets. Technical Skills: Strong proficiency in data engineering technologies and tools, including database systems, ETL frameworks, big data platforms, and cloud services.
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Technical/Functional Skills Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins, Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws.
$130,000 - $135,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
$94,200 - $223,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work experience in a Big Data ecosystem processing data including file systems, data structures/databases, automation, security, messaging, movement, etc. Hands on work with Amazon Web Services, including creating Redshift data structures, accessing them with Spectrum and storing data in S3.
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REQUIREMENTS: Bachelor’s degree, or foreign equivalent, in Data Science, Business Analytics, Statistics, Mathematics, or any related quantitative field, and two (2) years of experience analyzing data in the AdTech or media domains; using Tableau for data visualization; creating statistical models using Python or R; and querying Big Data using SQL.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
Full-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. Scala Spark, Python, Big Data, Kafka, AWS, Oracle SQL, Hive SQL, Databricks, and Jenkins. AWS (ECS/Fargate, Lambda, DynamoDB, API Gateway, EC2, Kinesis, ELK, RDS.
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Utilize big data technologies such as Kafka to process and analyze large volumes of data efficiently. Knowledge of big data technologies and cloud platforms. Data Integration: Integrate data from disparate sources, both structured and unstructured to provide a unified view of key infrastructure platform and application data.
$55,000 - $70,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Job Title: Full Stack Python Developer with AWS. Roles & Responsibilities We are looking for a seasoned Python Developer with experience using AWS and serverless technologies. The role will include responsibility to create new microservices, adapt current microservices, and work with front and back-end clients from design through implementation, deployment and production support.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc. Minimum of 6 year experience with databases and data modeling / design (SQL & NoSQL) And.
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Evangelize Seer's vision within Paid Media; working closely with Seer’s Paid Media Leadership Team to drive excitement, adoption, and integration as we run full-steam towards big data, automation, machine learning, and holistic Paid Media strategies.
$95,000 - $116,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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MUST have big data experience with Databricks, EMR, Spark. Win as a team - make big things happen by working together and being open to new ideas. MUST have big data experience with Databricks, EMR, Spark.
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big data jobs in Philadelphia, Schuyler, Nebraska
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