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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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Expertise in Cloudera Big Data Technologies, including Cloudera Distribution of Hadoop (CDP), Apache Hadoop, Apache Spark, Apache Hive, Apache Impala, and Apache HBase, with hands-on experience in deploying, configuring, and optimizing these technologies for large-scale data processing and analytics.
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Expertise in Java, Python, R, and proficiency in big data technologies such as Spark, Databricks, etc. Implement and optimize data processing workflows using Spark, Databricks, and other big data frameworks.
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Design and manage Big Data solutions, including AWS EMR, EMR Studio, and Azure Databricks. You will be responsible for designing, implementing, and managing cloud infrastructure, CI/CD pipelines, and ensuring the scalability, security, and reliability of our cloud and DevOps services, with a specific focus on Big Data technologies.
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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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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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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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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 engineer should be able to develop prototypes and proof of concepts for the selected solutions. Hands on experience of ETL tools like Informatica and SSIS is preferredExperience with Complex Data Parsing (Big Data Parser) a must.
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Candidates should be willing to work on our W2 only, No C2C Job Title: Big Data Engineer Location(s): McLean, VA/Richmond, VA hybrid (Mon & Fri remote/Tue-Thu onsite) Schedule: Hybrid Role Type: W2 ONLY Contract Length: 12 months Key Skills: Python, SQL, Spark, and AWS (Lambda, Glu, EMR) notebook tools like databricks or Jupiter Skill Requirements: We are seeking data engineers that deal with big data.
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Familiarity with big data tools such as BigQuery, Athena, etc. Extensive experience with data visualization tools such as Tableau, Looker, etc. We are seeking a sharp and highly analytical Data Analyst to join our dynamic and fast-growing company.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Stay abreast of emerging technologies and trends in martech, API development, cloud computing, and data engineering to drive innovation and improve martech capabilities. Utilize Python and other relevant programming languages to build robust APIs, microservices, and integrations for seamless data exchange and automation.
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Apply data engineering principles to design and optimize data pipelines for ingesting, processing, and analyzing marketing data. Implement data governance, quality checks, and monitoring to ensure the integrity and reliability of marketing data.
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big data jobs Company: Travelnursesource in CO, Kansas
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