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Master's in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Experience with big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Senior, Data Engineer, Big Data.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Advanced technical certifications: AWS Certified Cloud Practitioner, Solutions Architect, Certified Developer, or SysOps Administrator certifications; RHEL RHCSA/RHCE; AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics preferred.
$55,107 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
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SKill: Big Data Architect, Cloudera Big Data Tool stack (Hive ,Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop 8+ years of data engineering/architecture experience in Waterfall and Agile Methodology, with a proven track record of delivering complex data solutions, preferably in the financial sector.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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The ideal candidate will have experience with DBT, Snowflake, Python and Azure, along with a strong foundation Big Data, and Cloud Platforms. Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
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This role is W ONLY (NO CC per client requirements)MUST HAVE:-+ years of experience as a Business/Data Analyst working in Data Warehouse, Master Data Management-Strong SQL -Tableau OR Power BI-Data Governance -Knowledge of Government/Public Sector/Education organizations, hierarchies and structure is a BIG PLUS Responsibilities :The firm has an exciting career opportunities for a Data Analyst within the Data Strategy and Enablement group.
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Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) Support data pipelines within AWS, Snowflake, Databricks, Spark and Airflow.
$219,230 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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big data jobs Company: Vector Marketing in FL, Canada
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