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Design and Implement loosely coupled microservices that are API-driven using Python,Django,and gRPC with protocol buffers, as well as event-driven microservices using Kafka and Apache spark for backend data processing.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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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). Big Data & Streaming: 2+ years using big data and/or streaming technologies (e.g. Apache Spark, Apache Kafka, Apache Flink.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Evaluate and select appropriate technologies and frameworks (e.g., Spark, Flink, Kafka, Presto) to build a modern data analytics platform that meets business needs.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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A Senior Power Electronics Engineer designs, specifies, develops, and tests power system architectures and requirements for a wide array of applications, including miniature power conversion and management circuitry, distributed power architectures, radiation hardened designs, novel battery management circuitry, small motor controllers, switched-mode power conversion and precision feedback systems.
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Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow) Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation.
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Prior experience with Spring Boot framework, PostgreSQL, AWS EC2, Docker, Kubernetes, Kafka, Terraform or similar technology. We are looking for a Lead Software Engineer to join our athenaCollector team.
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Experience with using real-time and Big Data analytic processing technologies (Kafka, time series database and Presto/Trino, Spark SQL, etc) In this role, you will support our live streaming events by focusing on cloud traffic and capacity planning (API Gateway, IPC between microservices.
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Experience with RESTful API design, and cloud technologies like Kubernetes, Kafka. As a Software Engineer, your skills will be at the core of changing the way the world pays, banks, and invests.
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Position- Databricks Engineer. The candidate should have good experience in Scala programming language for data bricks development(He should have done the end to end data ingestion and data transformation in Databricks/snowflake.
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We seek an energetic and motivated Principal Scientist or Associate Director to lead the design and execution of strategies to engineer hematopoietic stem cells by a combination of genetic and protein engineering approaches.
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A Senior Analog Electronics Engineer designs, specifies, develops, and tests analog electronics and requirements for a wide array of applications, including analog front-end, signal conditioning, analog-to-digital conversion, precision feedback systems, dc/dc conversion.
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Job Description - Watch Engineer (3306836) Safety concerns must be immediately reported to the Assistant Director of Facilities, Chief Engineer, or the Director of Facilities. A 3rd Class stationary engineer license is preferred.
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I am looking for a candidate with experience as Databrick Engineer. Experience in migrating data from on-prem Hadoop to Databricks/AWS Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc.
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kafka engineer jobs Company: Coolsnail in Quincy, MA
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