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Experience in Cloud and Big Data platforms such as AWS, Databricks, Snowflake, Hive, Pig, Apache Spark, etc. Proficiency in data querying using SQL (Snowflake, Databricks) and Python (packages and libraries like Scikit, Keras, Pandas, PySpark/PySQL.
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I worked extensively on POCs, Consulting Solutions, ETL Framework Architecture, Big Data technologies, Talend Master Data management, Performance optimization, ETL techniques, pilot projects, SQL Views etc.
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Extensive experience in using Talend features such as Data processing optimization, implementation of Big Data solutions using Talend-Bigdata Implementation of parallelization using Talend, extracting data from multiple parallel databases like Hive, MySQL, Oracle etc.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Under the direction of the Executive Vice President for Real Estate Development, the Data Analyst will play an important role in executing NYCHA’s ongoing efforts to recapitalize and rehabilitate its stock of public housing apartments.
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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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O Conceptual / working understanding of modern master data management, big data platforms, data streaming, analytics and reporting solutions (e.g., AWS Elastic Map Reduce (EMR.
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Active Google Cloud Data Engineer Certification Hands on in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Python, Pyspark, Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/ composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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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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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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Experience leveraging cloud-based data platforms such as Snowflake, Databricks, and ELT tools such as FiveTran and dbt. As the CDO, you will have overarching responsibility for defining and developing the firm's data management framework, encompassing data architecture, data governance, and data quality standards.
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You will interact with numerous teams across ADP: Global Network Solutions, End User Computing, IT Architecture, Data Stewards, Project Management, Legal, Data Privacy and IT Operations to develop, enhance and drive the vision and effectiveness of the data security program.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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big data jobs Title: data project manager Company: E Solutions in Newark, NJ
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