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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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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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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. 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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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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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
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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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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery.
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies. Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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Experience with distributed computing systems and/or cloud infrastructures (e.g. Spark, Hadoop, YARN, Kubernetes, AWS, etc.) Experience coding with Java, Go and/or web technologies (e.g. HTML, CSS, JavaScript, Python/Ruby, Django/Flask/Ruby on Rails, etc.
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Mastery of some flavor of modern frontend frameworks and technologies like React, Redux, etcExperience in Big Data technologies like Apache Kafka/Apache spark/Nosql databasesPreferred experience in the CI/CD tools/platforms like Buildkite/Docker/Kubernetes.
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Strong skills in Big Data technologies (Hadoop, Spark, Hive) and AWS services (S3, EMR, Lambda, Redshift, CloudFormation). Expertise with marketing tools such as Marketo, Salesforce Marketing Cloud, Google Ads API, Ads Data Hub and Adobe Campaign.
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Five-plus years of experience with Apache Spark for data processing. Design and develop end-to-end analytics solutions using big data batch and stream processing frameworks (e.g., Spark Structured Streaming, Kafka, etc.
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spark job Title: assistant in Chestnut Hill, MA
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