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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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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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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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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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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.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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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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Familiarity with big data / visualization tools such as PowerBI, Tableau and the core concepts of relational data. Interprets data to identify trends, patterns, and insights to recommend business decisions.
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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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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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What You Will Do : Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Enable functionality to support analysis, model optimization, statistical testing, model versioning, deployment and monitoring of model and data.
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Experience utilizing modern data infrastructure tools such as cloud data warehouses (Snowflake, BigQuery, etc), data integration tools (Fivetran, Airflow, etc), business intelligence tools (PowerBI, Sigma, etc), CRM systems (Salesforce, Everyaction, etc), and other enterprise data tools (such as Airtable) required.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
big data jobs Company: Accenture in New York, Peoria, Arizona
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