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Experience with Cloud data stack solutions such as AWS, GCP, Azure, Snowflake, DBT, Airflow, Stitch. Cricut® is looking for a Senior Big Data Engineer to join our Data Platform team supporting the future of AI/ML. The ideal candidate will design, build, and integrate data from various resources, and manage big data pipelines that are easily accessible with optimized performance of Cricut®'s big data ecosystem.
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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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In this role, an employee will work with data services, data analysts and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high performing cloud-based architecture to enable and sustain data-driven decisions.
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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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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etc Experience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources. Work with us to use big data for good. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
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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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We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from business and financial management to predictive maintenance to national security.
$172,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry.
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Oracle Cloud Infrastructure Certified Architect Professional, Oracle Cloud Infrastructure HPC and Big Data Solutions Associate. Google Cloud Architect, Cloud Developer, Data Engineer, Network Engineer, etc.
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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. At least 1 year of experience working with the following Cloud technologies: AWS, Azure, GitHub, Bamboo, Chef or Terraform.
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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. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Experience: 5+ years of experience in cloud engineering, big data processing, and Python development. Certifications: AWS Certified Solutions Architect, AWS Certified Big Data - Specialty, or similar certifications.
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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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big data cloud jobs Title: data scientist Company: All It Solutions in Phenix-city, Alabama
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