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Develops and maintain data pipelines, leveraging Apache Spark , AWS Glue and other data processing frameworks to support efficient data ingestion , transformation and storage. Experience working platform like Apache Spark, Apache Flink, Glue, Kafka.
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Experience with real-time messaging and streaming architectures, platforms, and frameworks (PubSub/Kafka, Storm, Kinesis, Dataflow/Beam, Flink, Spark Streaming, etc) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java or Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Design and build data pipelines using big data technologies (e.g., Apache Spark) to extract, transform, and load data from various sources. Experience with data engineering tools and technologies (e.g., Spark, Hadoop, SQL.
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Ability to extract and manipulate large datasets using standard tools such as Hadoop (Hive), Spark, Python (pandas, NumPy), Presto, and SQL. Intermediate experience configuring and developing within ICM solutions, such as NICE, CallidusCloud, Xactly, Optymyze, or Varicent.
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Exposure to stream-processing systems like Apache Storm, Spark-Streaming or similar Azure/AWS streaming services. Exposure to Data Science including Predictive ModelingAdvanced experience in writing and optimizing efficient SQL queries with Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments.
$163,500 - $212,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle. Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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Spark, Query language (SQL) and open-source tools like PyTorch, Scikitlearn and Big data technologies like Hive, PySpark, Databricks etc. Spark, Query language (SQL) and open-source tools like PyTorch, Scikitlearn and Big data technologies like Hive, PySpark, Databricks etc.
$133,600 - $282,200 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Proficient in project software: SAS/SQL, Databricks, Python, Spark languages/technologies Excel, Word, PowerPoint, Business Objects, and Outlook. Use SAS/SQL, Databricks, Python, Spark; other software as appropriate to task.
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Training or experience with Databricks, Spark SQL or Python. Master s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content and a minimum of 4 years industry SAS statistical programming experience.
RemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Familiarity with big data technologies and frameworks, such as Hadoop, Hive Spark, Kafka, and NoSQL databases. Proficiency in data analysis techniques and tools, such as SQL, Python, R, and data visualization platforms (e.g., Tableau, Power BI.
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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
Full-timeExpandApply NowActive JobUpdated 10 days ago
spark job in Atlanta, GA
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