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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience with Big Data tools: BigQuery, Athena etc. Data Analyst / Data Science / Data Engineer / Business Analyst / NYC / New York / AdTech / SQL / Excel / Tableau / Power BI / Looker / BigQuery / Athena / A/B testing / Python / OVP / Online Video / Advertising Technology.
$95,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Strong digital marketing analytics skills, such as but not limited to web analytics, contextual advertising, email, AI/ML, surveys, big data, data-driven decision making, customer data management, search engine optimization (SEO), search engine marketing (SEM.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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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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Proven experience with Big Data Analytics, Consumer Data Platforms, and Storage systems for media, entertainment, games, or sports, such as Content Lakes and Content Archives, as well as Media Asset Management (MAM) and Production Asset Management (PAM.
$138,200 - $239,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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AWS Certification in any of the following: AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified Big Data. We are looking for an experienced Data Visualization and Migration Specialist with a strong background in AWS QuickSight, AWS Redshift, and Amazon Q. The ideal candidate will have a proven track record of working with data visualization tools, as well as extensive experience in data migration activities, specifically moving data from on-premises data stores to Amazon Redshift.
$125,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Strong expertise in Business Intelligence, Data Warehousing, Data Integration, Data Science, Big Data or Digital solutions. · Some experience in specific areas of data including (Data Quality, Master Data Management, Data governance, Data Engineering, advanced analytics.
$130,000 - $160,000 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL, cloud, and 'big data' technologies.
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