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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. Familiarity with AWS Services not limited to Glue, Athena, Lambda, S3, and DynamoDB.
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Working knowledge and experience in one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP. Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity.
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Strong proficiency in building and optimizing big data pipelines using Databricks Delta and Apache Spark. Proven experience as a Solution Architect or Data Engineer, with a focus on Databricks.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security, or Symantec DLP Administration) Capital One is seeking a Product Owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking.
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Drive continuous improvement of the DLP program through strategic planning, strong governance practices, thoughtful engagement with business partners, and development of a thorough understanding of business practices to identify data loss concerns.
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Data Science tools like Knime, Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch.
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You will use your deep technical knowledge and subject matter expertise in cybersecurity and Data Loss Prevention (DLP) to drive impactful improvements to our cyber capabilities. Communicate the Data Loss Prevention (DLP) delivery roadmap to our technology teams by inspiring the team through the DLP product vision.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC (various), CISM, CCSP, AWS Cloud Practitioner, AWS Security) Utilize strong background in PKI, encryption algorithms, data protection products and practices in public cloud and customer research and insights to represent the voice of the customer to the engineering team(s.
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2 or more professional certifications (SAFe PM/PO, CISSP, GIAC, CISM, CCSP, AWS Cloud Practitioner, AWS Security) Drive performance and innovation with data-driven insights and a culture of continuous improvement.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Experience with workflow orchestration management engines such as Airflow, Dagster, DBT, etcExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc.
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As a Product Owner supporting the Cryptographic Services in the Data Protection domain, you will be accountable for contributing to and delivering upon the strategic agenda for our core cyber products to drive meaningful progress for our customers and our business.
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Preferred Background:Experience (3-4+ years working experience) with data governance, constructs including technical and business metadata; Understanding of structured and semi-structured data, data quality knowledgeStrong ability to drive connections with a wide variety of data platforms including AWS (Databricks, Teradata, Snowflake, Kafka), Azure, DB2 and SQL Server, etc.
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1 or more professional cloud certifications: AWS Cloud Practitioner, AWS Solution Architect - Associate, AWS Developer - Associate, AWS Security - Specialty, or AWS Solution Architect - Professional.
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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, LakeFormation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, Cloudtrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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Familiarity with AWS cloud platform and the associated big data frameworks (Spark, Redis, Bigquery/Redshift, Airflow, Glue, Snowflake, Databricks). As a Data Engineer, you'll play a pivotal role in designing and maintaining our data infrastructure, ensuring the integrity and accessibility of our data for informed decision-making.
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