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Develop Data Pipelines using Scala and Spark EMR to move data into our consolidated data lake or data warehouse (Snowflake) Expert and Hands-On development in distributed computing environment using Hadoop, Scala, Spark and Apache Airflow.
$142,800 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6 years of experience must include: Apache Spark, Hive, Kafka; Scala, Python; Abinitio, Oracle; Cloud technologies: ORAAS, IBM S3 (Simple Storage Service); Intellij, Eclipse, SQL Developer, Arcadia, Tectia, Tableau, Hue, Jenkins, Sonar; OpenShift, Unravel, Cloudera Manager; and Red Hat Enterprise Linux 8, Tibco.
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High proficiency in programming languages such as SQL, Python, Java, or Scala, with experience in data processing system such as Apache Spark, Synapse Data Engineering in Microsoft Fabric, etc.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$144,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Google Cloud Platform (BigQuery, PubSub, Dataflow, Vertex AI), Airflow, Terraform, Spark, Scala, Python, Looker, Dataiku, Kubernetes, SQL, Git. Vous disposez d’une solide expérience en développement Spark, Scala, Python et framework ML (Vertex, Tensorflow, Scikit, PyTorch.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS.
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Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift. Your skills include experience with QlikView, Adobe Analytics, Google 360, Python, R Programming, Scala, Apache Spark, and AWS Redshift.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Amazon Web Services (Security Groups, Batch, Lambda, S3, ECS, EC2, ALB, RDS, IAM, SNS, Fargate, ElastiCache, Redis) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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At least 6 years of experience in software engineering (Internship experience does not apply) Lead a portfolio of diverse technology projects and a team of developers with deep experience in full stack systems to create automation tools to support the Card Architecture team aligned with leading standards and practices including tooling solutions for Content Management, SDLC, DevOps, reporting, etc.
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At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Lead Software Engineer, Full Stack (Java/AWS) Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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8+ years of professional experience with Data Management technologies and a minimum of 8 years of EDW Experience with 3 - 5 Years of Experience with Databricks, Lakehouse Architecture, and/or Spark/Scala.
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Senior Data Engineer (Python, Scala, or Spark) 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.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Responsible for data engineering source code control using GitLab. Basic Qualifications:Experience with relational databases and knowledge of query tools and/or BI tools like Power BI or OBIEE and data analysis tools Experience with the Hadoop eco system, including HDFS, YARN, Hive, Pig, and batch-oriented and streaming distributed processing methods such as Spark, Kafka, or Storm Strong experience in automating ETL jobs via UNIX/LINUX shell scripts and CRON jobs.
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