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As an engineering team, we are working on improving our systems to use the latest technologies (Spring Boot, Java 17, Kafka, etc.) We use PostgreSQL for our databases, and Python & Spark for large scale data workloads.
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Experience with microservices/RESTful API, relational/NoSql databases, data modeling and data ingestion frameworks Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Tasks and Qualifications:Requirements: 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AWS Data Engineering certifications. Exhibit strong proficiency and hands-on involvement with Cloud-based Big Data technologies, including AWS EMR, Apache Spark, Databricks, AWS Redshift, Snowflake, and S3.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering. This role demands someone who not only possesses a profound understanding of the data engineering landscape but is also at the forefront of their game.
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Stay up to date with the latest data engineering trends, technologies, and best practices. Expertise in architecting, designing, and building end to end data platforms in the GCP environment using BigQuery and other services while adhering to best practices guidelines such as open standards, cost, performance, time to market and minimize vendor lock.
$110,500 - $138,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in Tech Stacks involving data streaming, messaging and event driven systems such as Kafka, Kinesis, AWS MSK. Engineering experience in Terraform / Kubernetes/AWS. Experience in data and persistence technologies such as Cassandra, Dynamo DB and relevant.
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Play a key role in NCR Voyix as the Sr. Manager, Data Engineering, leading multiple scrum teams that are creating NCR Voyix’s next generation of data products, services and capabilities serving Convenience and Fuel Retail.
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3+ years of experience on messaging platforms like KAFKA, setting up topics, establishing data loading processes and automations for data loading and processing. Any/Bachelor’s degree in Computer Science, Electrical/Electronic Engineering, Information Technology or another related field or Equivalent.
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3+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000's of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale.
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred.
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Experience with data-streaming technologies like Kafka/Kinesis is a must. We're looking for a Hands-on Engineering Manager with a minimum of 8 years of experience developing and scaling processes and Api’s processing message streams on AWS for a top financial client of ours.
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Experience with Data Engineering technologies and tools such as Spark, Kafka, Hive, Ookla, NiFi, Impala, SQL, NoSQL etc. is seeking a experienced Software engineer with focus on Data Engineering, ETL processes, preferably with exposure to both batch and streaming data.
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