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The Lead Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud infrastructure targeting big data and platform data management (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent.
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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 in handling Big Data, IOT Data, and specifically a variety of Big Data file Formats Avro, Parquet, etc. Exposure to Data Lake, Lake House concepts, and technologies like Snowflake, AWS RedShift, or Databricks.
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Experience in Data Engineering tools such as Talend, SAP BODS, Python, PySpark, AWS S3, Glue, Athena, EMR, Kafka or similar tools. Support GRC (Governance, Risk, Compliance) aspects of data management.
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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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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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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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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Web3 team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity in our Web3 product offerings.
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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka) Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Ability to work with large datasets and experience with data processing tools like SQL, Pandas, and big data technologies such as Apache Spark. Use big data technologies like Apache Spark to handle and analyze enormous volumes of data.
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Experience with big data tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. THE ROLE:As a key member in the Advanced Data Analytics team, the Data Analyst will work with this and a cross-functional team to develop and execute the data analytics strategy and apply to Oshkosh Corporation products.
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Expertise in data platform infrastructure management, including Data Warehouses and Data Lakes (Redshift, Big Query, Snowflake, Delta Lake, etc. This role demands a deep understanding of various databases, data warehouses, and big data technologies such as Hadoop and Spark, proficient in SQL and Python as well as ETL processes and development strategies.
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big data jobs Title: medical Company: Inc in RI, West Virginia
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