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As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift.
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DE identifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies Athena, Glue, Sage maker, Kibana, S3, Quicksight, and API Gateway.
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Identify and analyze new fraud detection features using SQL, Databricks, and Python. High proficiency in SQL and Python. Develop and deliver presentations to Square leadership on fraud detection strategies and outcomes.
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Lead development of digital architecture blueprint, technical roadmaps, technology frameworks for software, data, integrations and infrastructure solutions Lead proposals for Digital Transformation and Cloud Computing and High-Performance Computing RFPs Provide thought leadership on Digital architecture roadmap to Business and IT leaders and enterprise architecture teams.
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Build and maintain serverless data ingestion & refresh pipelines in terabyte-scale using Azure cloud services – Azure Data Factory, Azure Logic Apps, Databricks, PySpark and Python, Azure SQL DW, Azure Data Lake Store, and others.
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Internally, we call this role Senior Site Reliability Engineer on the Security SRE team. As a Senior Site Reliability Engineer you will own multiple foundational Klaviyo services and make a big impact on the productivity of our product engineering teams.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake) Design, develop and deliver scalable, robust and highly re-usable components using technologies such as Python, Java, AWS serverless (Lambda, Glue), Apache Spark, Apache Kafka and REST.
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Fluid and/or gas handling systems, including safety and compliance Fuel cells and battery systems Familiarity with Linux/Unix-based operating systems via command line Familiarity with one or more software languages (Python, C.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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7+ years ofquantitative expertise: statistics, mathematics, and computer science (python / SQL required) Focused one-on-one meetings with your manager. Together with the quantitative PM, co-manage equity derivative portfolios in one or more segments of the general investment or corporate investment accounts.
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Other responsibilities include designing and delivering data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environments. Helps grow and mentors team members on the fine art of data engineering and software abstractions.
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Requires experience with Scripting language Python, SQL, PLSQL, PySpark, and Hive. Requires experience with ETL tools BODS, Informatica and Datastage. Position requires experience with Bigdata technologies such as Hadoop, Hive, SPARK, or No-SQL DB. Requires experience with AWS services such as Lake formation, Glue, S3, Lambda, DynamoDB or other AWS accelerators.
$169,104 - $199,104 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Experience using statistical computer languages (R, Python, SQL, etc.) The candidate will work on formulation and scale up of lipid nanoparticles (LNPs) targeting different organs and cell types.
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one on python sql jobs Title: lead software engineer Company: Jobs For Humanity in Dedham, MA
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