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Hands on Experience with : R, Python, SQL, AWS (EMR, EC2, Redshift, Athena, S3, Sage Maker) Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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1+ years of data warehousing experience (Redshift or Snowflake) 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Fargate) The team also manages data ingestion patterns to the HR Data Warehouse (People Data Platform), tackling new application development, enhancements to existing applications, and pushing the bar on availability for all applications which serves at least 20k+ customers on a daily basis.
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Capital One’s HR Data team focuses on how to improve the experience of an associate by drawing insights and making changes to serve our customers better. As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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1+ years experience working on real-time data and streaming applications. At least 1 year of experience in big data technologies. We are seeking Data Engineers who are passionate about marrying data with emerging technologies.
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Cloud-first experience with modern data engineering tools such as Apache Spark, python, dbt, Databricks, and Snowflake. Experience with AWS, Snowflake, Databricks/Apache Spark, Redshift, technologies.
$140,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with data warehouses: Snowflake, BigQuery, RedShift. You will be the foremost contributor providing data operations leadership to translate model outputs into value for our customers and helping to build a growing data organization.
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Experience of using one/more scalable (MPP) relational databases such as Teradata, Netezza, Redshift, Snowflake and SQL data warehouse for advanced analytics. Familiarity with data modeling and ETL tools such as Erwin, Talend, DataStage.
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Also required are experience in quantitative analysis, modeling, and programming in Python using MySQL, PostgreSQL, and Redshift databases; experience using JIRA, BitBucket, Git, Confluence, Linux shell script, RESTAPIs∯*∯ Salesforce, SOQL, AWS services, Tableau, Power BI, and Agile methodologies.
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Experience in Informatica, AWS, Redshift, Databricks, Tableau, Cognos, Oracle Exadata. State Street Global Advisors is seeking an experienced hands-on, dynamic and well connected data architect to join Technology team and lead the design and implementation of large data initiatives.
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G Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats) and methodologies (e. g dimensional modeling, data marts, star/snowflake schemas) g AWS, GCP, Azure), across multiple data stores (e.
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Strong proficiency in data analytics tools such as Domo, PowerBI, Tableau, Looker, Snowflake, Redshift, Jupyter Notebook, etc. Hands-on experience designing, building, and maintaining data pipelines using tools such as Azure Data Factory, Apache Kafka, Apache Airflow, AWS Glue, Google Cloud Dataflow, and similar technologies.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR. 10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc.
$226,000 - $361,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with AWS (Aurora & Redshift specifically), SQL Server, Snowflake, Databricks or similar. Our data science, cloud-native software, and passion for customer success deliver the highest ROI, fastest time to value, and highest customer satisfaction.
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Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc. MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent.
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