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Demonstrated Expertise (“DE”) designing, developing, testing, and implementing enterprise analytics platforms into Snowflake using Control-M jobs, Apachi Nifi, Apache Kafka, JavaScript, SnowScript, and Snowflake Tasks; and deploying data migration conversion scripts using GIT, Bit Bucket, and Jenkins Core pipelines.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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The environment involves Batch Pipelines involving core technologies such as Scala, Python, Spark, EMR, Glue, Airflow, Step Functions, Delta, Uniform Catalog, Iceberg, DynamoDB amongst many others. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 9+ years of experience in application development including Python, SQL, Scala, or Java. 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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The team tackles problems of massive scale, with a critical data footprint that has bottomline business impact, resiliency & availability requiring the best techniques within Big Data Analytics and Machine Learning, all while providing a superior analyst experience on our tools.
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Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems. As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Senior Manager, Data Engineering. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
$234,700 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, develop and modify software systems, using extract, transform, load (ETL) tools Informatica, Spark (e.g., Databricks) and python utilities to load data into customers' enterprise data warehouse (AWS, Snowflake.
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Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python. Advanced Data Analysis: Extract and analyze data from BigQuery/Snowflake, handling large and complex data sets, cleansing and manipulating data to create insights that drive strategic actions and decisions.
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Data Engineer (Databricks, Snowflake, AWS) Experience in building Data Warehouses/Data Platforms on Redshift/ Snowflake. Data Engineer (Databricks, Snowflake, AWS) Experience working with distributed data processing frameworks such as Apache Hadoop, or Apache Spark or Flink.
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Design repeatable and reusable solution architectures and data ingestion pipelines for bringing in data from ERP source systems like SAP. Manage data integration with tools like Databricks and Snowflake or equivalent data lake and data warehouses.
$80ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Tools: SQL Developer, Snowflake, SnowSQL, Postman, IntelliJ/Eclipse, Jenkins, Git repositories, Source-Tree, RestAssured and Docker. Database Dialects: Oracle, Snowflake, PostgreSQL, SQL Server and DynamoDB (preferred.
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Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks. Experience with Data warehouses like Snowflake, BigQuery, Object Storage like S3.
$189,000 - $258,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Minimum 10 years of designing and implementing an operational production grade large-scale data solution on Microsoft Azure Snowflake Data Warehouse. Strong understanding or Snowflake on Azure Architecture, design, implementation and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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