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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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2+ years working Extensive experience in Big Data Engineering 1+ years working experience in Python-based data integration and pipeline development. Mentor and guide junior data engineers in the team Drive and implement automation to empower the organization to scale efficiently and with flexibility Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform Requirements: Bachelor or equivalent 1+ years working Experience in AWS Redshift, Databricks, BigQuery, Oracle, or Graph databases.
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Any of the following Certifications will be accepted: Cloudera Certified Professional (CCP) Data Engineer, Elastic Certified Engineer, Elastic Certified Observability Engineer, Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), AWS Certified Developer.
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Strong experience with Hadoop, Impala, Pig, Hive, YARN, and other big data technologies. 5+ years experience performing data warehouse architecture development and management across one or more data warehouse solutions including BigQuery, Synapse, Teradata, Vertica, or Snowflake.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Building automation monitoring tools for Big Data and working with data engineering-related tools and technologies, including: Kafka, Data Warehouses, and Apache Airflow.
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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Realtor.com is seeking a Senior Economist on the Economics Research team with expertise in data-driven storytelling to a variety of audiences, strong analytic instincts, and skills to build models from large data.
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Training & Certifications: Splunk , AWS, Big Data/Cloudera, VMWare, Scrum Master. The Sponsor seeks assistance with performing technical project management that spans technical data analysis, information technology security research, data integration, software evaluation, and graphical visualization disciplines for multiple projects using the Sponsor’s enterprise IT systems.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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Experience with big data technologies (Domo, Snowflake, BigQuery, Redshift, Hive etc.) The Senior Data Engineer will be the product owner and subject matter expert related to Whiskers Enterprise Data Warehouse and Business Intelligence platform.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. 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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You have core experience with Coding, Querying Data Sets, Providing Data Insights and solutions, Problem Formation with Big Data Analysis, Automation Techniques, Data Quality Standards and Governance, Accessibility, Storage and Scalability.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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big data jobs Title: developer Company: Collabera
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