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Proven hands-on experience as a Technical Leader on data quality and governance. 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 stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. Hands on experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
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Great to haves: Experience with Databricks or S3 based data lakes Experience writing Python or Scala code Exposure to big data tools: Hadoop, Spark, Kafka, etc. by promoting sound data engineering practices, driving work on data strategy, regularly assessing the technical state of our data architecture, and giving focused support to specific teams as necessary.
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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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Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform. 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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Phase 2 – Marine Technician Operations Week 5: Collaborate/Coordinate with users/Ships Force to shadow a “On Hands” approach/ technique specific to the Sailors individual strengths. Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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In this hands-on role, you will architect and engineer data pipelines, platforms, integrations, and products on modern cloud platforms, such as Snowflake, Databricks, Azure, and/or GCP. Collaborating closely with the data leadership team, you will shape the long-term vision, cloud adoption roadmaps, future-state analytical architecture, and data governance frameworks necessary for this transformation.
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Lead, hands-on-deploy (from data onboarding, configuration, visualizations, alerting), and seamlessly integrate Elastic products and APIs into intricate platform architectures, harnessing years of technical expertise.
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2+ years of experience with Flow Cytometry, FACS and Cell Sorting, and hands-on analysis of data from complex systems. 2-5 years of hands-on, laboratory experience in cell analysis, protein biochemistry, immunology, drug discovery/molecular pharmacology, or related field is required.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. As a Staff Partnerships Analyst on the Partnerships Analytics team, you will help lead strategic, data-driven decision making at Mailchimp.
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Certification in big data technologies or cloud data services ● Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus Benefits: Our client provides a comprehensive benefits package designed to support your health, financial well-being, and professional development.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Being a domain expert on data modeling, data pipelines, data quality and data warehousing.
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Snowflake and Python certifications AWS Certified Solutions Architect Associate Skills and Abilities: Must have strong background in data engineering, data management, data governance and analytical skills Hands-on experience with core AWS services and loosely coupled architectures Proficiency in SQL, Terraform, Unix and at least 1 scripting language (R, Python) Must possess strong communication skills.
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3+ years of hands-on experience with cloud data warehouses like Snowflake or Amazon RedShift. 3+ years of hands-on experience with Data Visualization tools like Power BI and Tableau.
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hands on big data jobs Company: Directv in West-greenwich, Rhode Island
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