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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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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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Snowflake, Spark, Trino, Airflow, and dbt. Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino). Snowflake, Spark, Trino, Airflow, and dbt. Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino.
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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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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.
$201,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Experience working streaming applications (Spark Streaming, Flink, Kafka or equivalent) 4+ years of professional software development within at least one of the following Java, Spark, Scala, Python.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
$247,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Spark with Scala Experience in PERF testing and turning as well as shift left practices. years of experience with core Java or higher, with Spring Boot + years’ experience with Kafka or other event streaming systems (RabbitMQ, Kinesis, Service Bus) + years of experience working with Oracle, SQL Server, MySQL or PostgreSQL. Experience with distributed cache and compute grid products, such as Hazelcast Working proficiency in developmental toolsets like GIT/BitBucket, JIRA, Maven Design, deploy, and manage scalable applications using Kubernetes.
$52 - $64.21Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL. I do have below position for Azure and Snowflake Data Engineer at Boston, MA (FULLTIME). Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL.
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Experience designing and implementing distributed systems using frameworks such as Apache Kafka, Apache Spark, or similar. Knowledge of simulation software and familiarity with industry-standard tools such as ANSYS, COMSOL, or similar.
$150,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Technical Skills: Proficiency in SQL, database platforms (e.g., MySQL, Oracle, SQL Server), data warehousing, ETL processes, data modeling tools, and familiarity with cloud services (AWS, Azure, Google Cloud), big data technologies (Hadoop, Spark), and data pipeline tools (Apache Kafka, NiFi.
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We process billions of events every day using Spark and variety of AWS Services, as well as comparable Microsoft Azure services. Experience with Big Data stack of technologies, including Hadoop and Spark.
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5-7 years of experience as a Data engineer with extensive working experience using Pyspark, Advanced SQL, Snowflake, complex understanding of SQL and Skills, Spark, Snowflake and Glue. Experience with any MPP data warehouses e.g. Snowflake, Big Query, Redshift etc.
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Spark Capital and Avenir Growth Capital co-led the Series D funding round, with additional participation from a group of past investors including Snowflake Ventures and Sutter Hill Ventures. Experience with SQL, data visualization tools, and cloud-based analytics platforms highly preferred (Snowflake, Databricks, Redshift, BigQuery.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today
spark job in Boston, MA
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