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Demonstrated expertise in big data technologies, including Apache Spark, Scala, Python, SQL, and TEZ. Optimize the utilization of our BI platforms, tailoring data models and dashboards to the specific needs of big data processing and analysis.
$198,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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1+ years’ experience in Big Data Distributed ecosystems (Hadoop, SPARK, Unity Catalog & Delta Lake) 1+ years’ experience in Big Data Distributed systems such as Databricks, AWS EMR, AWS Glue etc.
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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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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
$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. 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.
$195,000 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. We need a big data professional like you to help our clients find answers in their data to impact important missions-from fraud detection to cancer research to national intelligence.
$220,000 a yearPart-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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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Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance. 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 tools and architectures, such as Cloudera Hadoop, HDFS, Hive, and Spark. 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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Hands-on experience with Big Data technologies, including Spark, Hadoop, Cassandra, and others. Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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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 - 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 ideal candidate will have extensive Microsoft/Azure data services and Databricks technology experience.
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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
big data jobs Title: hadoop consultant Company: Atos
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