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Big Data Technologies: Proficient with big data technologies such as Databricks, Hadoop, Spark, and Kafka. Our client, a leading provider of Artificial Intelligence Integration Services and innovative data platforms for government and defense clients, is recruiting a full-time Cyber Security Engineer.
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Must be proficient in SQL and understand different data modeling techniques using Big Data frameworks such as Presto/Snowflake/Databricks. Experience in Cost optimization (AWS/Snowflake/Databricks) is a huge plus.
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The Core Data & Services for the Data organization within the DEET organization is in search of a Senior Data Engineer. 5+ years' experience as a data engineer.
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Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR.
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Data Management: Snowflake, Databricks, Big Query. VisionWrights is a full service data & analytics consulting firm, covering data management & governance, analytics, data strategy, and AI/ML. Most of our consultants work across several of these disciplines, and we serve clients across a variety of interesting industries, which makes for a very dynamic, collaborative, and high-learning work environment.
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Hands-on experience in Big Data, Cloudera Distribution 7. Strong project experience in Big Data, Cloudera Distribution 7. Implement monitoring solution(s) for the Big Data platform to monitor health on the infrastructure.
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As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Job Requirements:- Minimum of 5 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
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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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You must be passionate about data management with a solid background in AWS, Databricks, Python, Trino/Starburst, Databases and SQL.Design, develop, monitor, and maintain data pipelines in an AWS Gov Cloud ecosystem with AWS, Databricks, Delta Lake and Trino as the underlying platforms.
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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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Working to design, build and support a transformational Databricks cloud data platform for the business. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Location: Spring, TX On-site Job Description: As a Senior Data Engineer, you should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data sources into formats that are suitable for building analytics solutions.
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As a Senior Data Engineer, you will help evolve our platform (Databricks) and our partner integrations (HubSpot, Iterable, Appcues, etc.) 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.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. 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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Qualifications Requirements: Bachelor's degree inputer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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databricks big data engineer a plus jobs Title: data engineer Company: Careerbuilder
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