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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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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Experience with any of the Data Governance tool – such as Collibra, Alation, Informatica Axon DG, or Apache Atlas.
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Your role as a Data Engineer: In this role you will be responsible for designing, developing, and maintaining data pipelines in support of data management functions such as data engineering, data integration and data quality and governance activities.
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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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The Asset Management Quant Research Engineering team is looking for a Principal Quant Data Engineer who wishes to take on the challenge of building a world-class data operation. Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
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Qualifications Strong technical accomplishments in SQL and data analysis skillsExperience with data transformation orchestration tools like dbt or DataformStrong business intuition and ability to understand complex business systemsFamiliarity with additional transformation platforms like Apache Spark and BeamExperience with MPP databases such as BigQuery, Redshift, or Snowflake.
$152,500 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We offer an array of services including Core Business Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud Adoption, Mobility, Digital Adoption, Agile & DevOps, Quality Assurance & Test Automation.
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Java Engineer- FTE, Wissen Technology, NYC - Hybrid. Expert level Java software engineering. Ability to work in an agile software delivery method. Ability to deliver software based on deadlines.
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The HR Data Analyst will be a key contributor to the data management and integrity for the People Ops team. Angi is looking for an HR Data Analyst to join our People Ops team. This role will support three key functions of the People Ops team including Compensation, People Analytics, and HRIS. Your work will help contribute to Angi’s continued development of our data & analytics programs and structures as we continue to scale our services to the business.
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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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The role of VP Data Modeling is to develop, implement and maintain physical data models for domains with respect to financial services, in support of Aladdin Data strategy. Ultimately, a top-notch data modeler should be able to design models that are atomic, reduce data redundancy, streamline data movements, and reduce TCO.
$210,000 - $267,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Nice to have Experience working with Big Data solutions and architecture. Knowledge of cloud based Big data and analytical solutions a plus.
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Within MAP, the Analytics team fulfills two primary functions: 1) Operations research to improve decision-making using big data and advanced analytical methods, including machine learning and artificial intelligence techniques, optimization algorithms, simulation and statistical analyses.
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5+ years of experience in Big Data and Data Engineering. Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc. Strong knowledge of advanced SQL and data warehousing concepts, including BigQuery.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Graduate-level degree in computer science, engineering, or relevant work experience Preferred: Understanding of ML frameworks (sklearn, TensorFlow, PyTorch, etc) Experience working with big data platforms (Hadoop, Redshift, Snowflake, etc) Architecture, design patterns, production scaling/optimization Insurance industry experience Salary range: $132,500-$197,500 Overtime eligible: Exempt Discretionary bonus eligible: Yes Sales bonus eligible: No.
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big data jobs Title: data software engineer Company: Disney Streaming in New York, NY
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