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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.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in optimizing data models and access patterns for modern warehouse and orchestration platforms such as Snowflake, Redshift, Databricks, Spark, DBT, Apache Airflow, and Prefect.
Full-timeRemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This architecture includes an Databricks, Microsoft Azure platform tools (including Data Lake, Synapse), Apache platform tools (including Hadoop, Hive, Impala, Spark, Sedona, Airflow) and data pipeline/ETL development tools (including Streamsets, Apache NiFi, Azure Data Factory.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Knowledge and/or experience working with Apache Spark/Databricks. On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise architecting and developing solutions in AWS, Databricks and Snowflake (data engineering) Experience in AWS components including: Lambda, Kinesis/Firehose, Airflow, Glue,Spark, EC2, SageMaker, S3, NoSQL database and API Gateway.
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Implementation of Big Data solutions: using open source and non-SQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala software development or PySpark.
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Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ability to read and understand code in Scala GoLang Python familiar with PySpark/Java Spark.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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3+ years of experience of working with DataBricks, SnowFlake, or other data warehouse and data lake products and technologies. 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow.
Part-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We use: Spark (PySpark), Polars, Pandas) and work mostly on databricks. About the RoleUtilize your expertise in data frame tech (Spark, Polars, Pandas) to transform data into actionable insights.
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Experience with Snowflake, Databricks, Spark SQL, PySpark, and Python. Experience with Snowflake, Databricks, Spark SQL, PySpark, and Python. will work hands-on with challenging data engineering, data management, and analytics projects.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days 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. - 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.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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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.
Full-timeRemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka.
Full-timeExpandApply NowActive JobUpdated Yesterday - 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.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Skills: Data Engineer - Python, Spark/PySpark, SQL, Java, AWS- Lambda, S3, EMR, Glue, Snowflake, Databricks, AWS Certification Strong Preference. Skills: Data Engineer - Python, Spark/PySpark, SQL, Java, AWS- Lambda, S3, EMR, Glue, Snowflake, Databricks, AWS Certification Strong Preference.
Full-timeExpandApply NowActive JobUpdated 9 days ago
spark databricks jobs in Bethesda, MD
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