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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
Full-timeRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like Scala, Java, Python, SQL and GO and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. You will be working with Scala, Morphir IR, Go, Python, AWS (Fargate, EMR, Glue, S3), Cassandra, DynamoDB, Snowflake etc., and will have great opportunities to learn and contribute to the success of the platform.
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The tech stack is primarily Java, AWS serverless, EMR, EC2, and ECS with services written in Scala, Spark, and Python, and uses Snowflake as our Database. 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.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Understanding of data modeling/visualization, database design principles, and data governance practices. Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
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Build ETL Data Pipelines in Azure Cloud using Azure ADF and Databricks using PySpark and Scala. 6+ years of experience writing production code in Python, PySpark or Scala Strong knowledge of Azure platform.
Full-timeRemoteExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Significant hands-on experience designing and implementing reusable frameworks using Apache Spark (PySpark preferred or Java/Scala) You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform.
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Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. As a Data Engineer , you will u se cutting-edge cloud and data technologies to help global brands and federal agencies solve challenging problems through innovative technology solutions.
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Responsibilities: Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Knowledgeable of technologies such as Scala, Databricks, Python, Trifacta, Data Robot, Kafka, Stream Sets, and/or R programming language. Utilize Scala, Databricks, Python, Trifacta, Data Robot, and R to implement data processing and analysis tasks.
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Some Kotlin and Scala and a bit of Golang and Rust. Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. some Kotlin and Scala and a bit of Golang and Rust.
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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.
Part-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc. Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc.
Full-timeExpandApply NowActive JobUpdated 2 months ago
scala job in Washington, DC
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