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5+ years working with key open source big-data projects as a contributor or committer including Delta Lake, Apache Iceberg, Apache Hudi, Apache Spark, Apache Hadoop, Apache Flink, Apache Kafka, Apache Storm and Apache Hive.
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We are seeking a Databricks Data Engineer. About the job Databricks Data Engineer. Deep understanding of one or more of the big data computing technologies such as Databricks, snowflake.
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As a Lead Data Engineer you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve many different products.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
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Must Have Technical/Functional Skills We are seeking a skilled Data Engineer with a strong background in data pipeline creation, data visualization, and analytics. Roles & ResponsibilitiesWe are seeking a skilled Data Engineer with a strong background in data pipeline creation, data visualization, and analytics.
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Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. We are seeking a highly skilled AWS Data Engineer with experience in Big Data and AWS technologies.
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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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Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink. Our engineering team at OpenSea is in search of a strong, driving, but curiousData Engineer to take charge of our data replication, ETL, and warehousing infrastructure to empower our core user experiences, trust & safety models, and business intelligence use cases.
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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. 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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Implement data pipelines using Apache Spark/Databricks. As a member of the engineering team, you will join us as an engineer, responsible for building and scaling our data pipelines and distributed data stores powering our platform.
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Design and implement high-performance data processing pipelines using Spark Streaming, Databricks, Snowflake and other technologies to ensure data security and privacy. The Senior Principal Data Engineer / Data Architect is an essential role that merges data engineering expertise with strategic data architecture responsibilities, emphasizing enterprise data security and compliance with government-level data retention and security standards for both batch and streaming scenarios.
$215,000 - $322,250 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Your deep expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be the cornerstone in architecting a robust data mesh that ensures data is accessible, reliable, and provides actionable insights across the organization.
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As a Senior Data Engineer in the Corporate Strategy Advanced Analytics team, you will partner with others across the organization to enable access to enriched data for analysis and visualization for internal and external stakeholders.
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