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Design and implement scalable data pipelines for diverse data using Apache Spark, Hadoop, and Kafka. Experience with big data technologies - Spark, Hadoop, or Kafka.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka. Utilize ETL tools and frameworks (e.g., Apache Airflow, Talend) to automate data workflows, ensuring efficient data integration and timely availability of data for analytics.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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We have the following Senior Data Engineer role that plays a crucial role in architecting, implementing, and managing robust, scalable data infrastructures. Sr. Data Engineer.
$130,000 - $155,000 a yearExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Must have programmatic experience with tools like Javascript, Python, Apache Spark. Must have good implementationexperience onvariousGCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data warehousing and ETL tools like Apache Spark, Apache Hadoop, or AWS Glue. As a Solugen Data Engineer the successful candidate will play a pivotal role, ensuring every byte of data, whether from mainstream sources like NetSuite and Salesforce or specialized streams like high-throughput Biology and Chemistry laboratories and sensors across our manufacturing facilities, is seamlessly channeled, processed, and made accessible to support this continued growth.
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Preferred: Databricks Certified Associate Developer for Apache Spark, AWS Certified Solutions Architect, Azure Data Engineer Associate, or other relevant certifications. - Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.
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Proficiency with server-side languages for structured data processing; Python, PySpark, Java, Apache Spark, and SparkSQL preferred. Position – Data engineer with Palantir Foundry.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Good experience in Apache Spark performance tuning and debugging. Be comfortable navigating the following technology stack: S3, Kubernetes, KubeFlow, Spark, SQL, Impala, Scala, java, Python, scripting (Bash/Python) etc.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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As a Sr. Data Engineer within the Trailblazer initiative, you will play a crucial role in architecting, implementing, and managing robust, scalable data infrastructure. Proficient in SQL and programming languages relevant to data engineering (Python, Java, Scala.
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Knowledge of ETL tools and frameworks such as Apache Spark, Airflow, AWS IoT Analytics, IoT Device Management, and AWS IoT Events. Proficiency in programming languages such as Python, Java, Scala, SQL, Spark, and Unix shell scripting, including AWS CLI.
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We're looking for a Senior AWS Data Engineer skilled in Python open to working hybrid in Houston! Coordinate with other application teams for data integration, such as ETRM systems, ISO Market Systems, SCADA and data warehouses.
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Design, build and maintain data processing pipelines in Apache NiFi, Spark Jobs. 5+ years of software development experience in Big Data technologies (Spark Database & Data Lakes.
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