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5+ years working experience with key open source big-data projects as a contributor or committer including Apache Spark, Apache Flink, Trino, Apache Kafka, Apache Hive, Apache Arrow, Apache Hadoop, Delta Lake, Apache Iceberg.
$268,000 - $414,000 a yearFull-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). In-depth knowledge of Apache Spark, Pyspark and Databricks architecture.
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Java - 4, Big data Architect - 3, Spark - 4, ETL - 4 , Apache Beam/DataF. Hands-on programming experience in Apache Spark using Java/Scala and Spark Streaming.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. In-depth knowledge of Apache Spark and Databricks architecture.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform. Optimize the performance of big data processing tasks and analytics jobs.
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Develop and optimize big data processing using Spark and PySpark within the Databricks environment. Databricks Certified for Apache Spark (recommended but not required.
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Proven experience (10+ years) as a Spark Developer and Scala development with big data technologies. Position : Big Data - Scala Spark Developer.
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Experience in writing spark streaming jobs (producers/consumers) using Apache Kafka or AWS Kinesis is required · Should have knowledge in variety of data platforms such as Redshift, S3, Teradata, Hbase, MySQL/PostGres, MongoDB · Experience in AWS services such as EMR, Glue, S3, Athena, DynamoDB, IAM, Lambda, Cloud watch and Data pipeline · Must have used the technologies for deploying specific solutions in the area of Big Data and Machine learning.
$70 - $75 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Stay current with emerging trends and technologies in big data and cloud computing, particularly related to Databricks and Apache Spark. Proven experience working with Databricks for big data processing and analytics.
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Strong expertise in Apache Spark, Databricks, and Spark SQL for big data processing and analytics. Design, develop, and implement ETL processes, data ingestion pipelines, and data transformations using Apache Spark and Databricks.
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Big Data Platforms (Apache Spark, Data Bricks, Presto, Amazon EMR) Modern Data Workflows (Apache Airflow, dbt, Dagster) Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka.
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Experience with Apache Spark and related technologies. Experience with machine learning and data science workflows on Databricks. Implement best practices for data governance, security, and compliance on the Databricks platform.
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Proven experience as a Technical Lead with a focus on Databricks and big data technologies. Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks.
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big data apache spark jobs Title: developer Company: Intelligence And National Security Alliance
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