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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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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. We are seeking a highly skilled and motivated Senior Data Engineer (Infrastructure) to join our dynamic team at SiriusXM. As a Data Infrastructure Engineer, you will play a key role in designing, building, and maintaining robust, scalable, and secure data infrastructure used by our data professionals in order to fuel innovation, facilitate informed decision-making, and drive sustainable growth.
$171,175 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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. What you'll bring to Circle: For Senior Data Engineer (III) 4+ years of professional data engineering experience.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) for scalable data processing. Proficiency in programming languages such as Python or R, and SQL, SnowFlake for data manipulation and analysis.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a lead big data engineer at Booz Allen, you'll use your expertise to lead data engineering activities on some of the industry's most mission-driven projects. As a data engineer, you know that organizing big data can yield pivotal insights when it's gathered from disparate sources.
$220,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Knowledge of some of the main components of Azure Analytics: Azure Data Processing Technologies (DataFactory, Databricks), Azure Big Data Technologies, Databricks, Synapse. The Sr. Azure Data Engineer will lead the creation of high-value data driven solutions leveraging Cyclotron’s proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required.
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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$419,750 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Two or more years Experience with Big Data on GCP – Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, etc. Deep hands-on experience with Spark, Hive, big data & open source technologies.
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Extensive experience in designing and delivering large-scale, 24-7, mission-critical data pipelines and features with at least 3 years of using modern big data architectures. The lead engineer will be responsible for implementing strategies for the enterprise data warehouse including robust data pipeline design and build as well as data modeling to effectively support enterprise-wide analytics needs using Redshift, PostgreSQL, S3, Airflow, and Python along with data integration and data visualization/analytics tools.
$185,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Strong experience in Azure Big Data Technologies like Azure Data Lake, ADLA, HDInsights, Databricks, EsgynDB etc. Experience with data visualizations tools like SSRS, PowerBI & Tableau.
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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.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs Title: big data software engineer Company: Deloitte
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