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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture) Cerberus Technology Solutions (CTS) is a subsidiary of CCM focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations.
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Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake. We are a premier IT consulting firm specializing in delivering top-tier Big Data solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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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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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.
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As a Site Reliability Engineer, you will support massive amounts of data across everything from sports, content, marketing, ticketing, TV, finance, media, etc. The business is amid tremendous growth and looking to expand its already expansive consumer base, putting a huge emphasis on data, uptime, high availability, and disaster recovery while driving new marketing initiatives, greater brand partnerships, and building an even more massive, unified platform.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Strong programming skills in Python and SQL. - Familiarity with big data processing frameworks such as Apache Spark. - Proficiency in Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure Data Factory, Azure Synapse, and Azure Databricks.
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Bonus Points:Experience with big data tools e.g. Snowflake, Apache Spark, Flink, Athena etcExperience in the Securities Finance domain. You have hands-on experience with ETL toolchains e.g. Argo, Apache AirflowYou are a data modeling pro; you understand how to create unified definitions of types from different source data representations.
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Expert in Microsoft Office Suite, SQL, Python, data visualization tools such as Power BI or Tableau. Domain knowledge of cyber security (i.e. vulnerability management, Security Operations, Data Protection, Privacy and Compliance, etc.
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We are looking for a Murex Analyst with a specialized focus on data quality and risk model validation. The ideal candidate will be instrumental in generating and assessing critical financial data within the Murex platform, supporting quantitative analysts, and validating risk models.
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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The Office of Performance Management & Data Analytics (OPMDA) reports critical statistics and data related to the Department of Homeless Services (DHS), as well as to Human Resources Administrations (HRA) operations and program services.
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big data jobs Company: Protiviti in New York, DC, France
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