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3+ years of experience in data engineering or integration roles with a focus on Python, Spark, and Databricks. Design and architect data integration solutions to connect various data sources and systems using Python, Spark, and Databricks.
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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. 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 3 days ago - UpvoteDownvoteShare Job
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark.
$150,000 - $170,000 a yearFull-timeRemoteExpandUpdated 12 days ago - UpvoteDownvoteShare Job
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Your expertise in Apache Spark (Scala), Apache Airflow, AWS Glue, Python, Kubernetes, and Oracle will be crucial in ensuring efficient data processing, storage, and retrieval. Design, develop, and deploy robust data pipelines and workflows using Apache Spark (Scala) and Apache Airflow to support data processing and transformation activities.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of Apache Spark and Databricks architecture. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Must have experience with relational SQL (specifically t-SQL), Spark, Spark-Streaming, Python, R, PowerBI, Github, PySpark, DataBricks, Palantir, Data Lakes, and Scala. Must have experience with relational SQL (specifically t-SQL), Spark, Spark-Streaming, Python, R, PowerBI, Github, PySpark, DataBricks, Palantir, Data Lakes, and Scala.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Azure DevOps, Azure Cloud Services, Machine Learning. Engage with organizations, Industry and Academia to conduct necessary stakeholder analysis to ensure data engineering projects support IVC and end-user requirements.
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Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) page is loaded. Senior Software Engineer Backend (Python, SQL, ETL, Spark, AWS) Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer Backend (Python, SQL, ETL, Spark, AWS.
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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. Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus.
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You will have an opportunity to work on the application service layer written in Spark and Scala running on EMR’s orchestrated by Python Lambdas, debug application and environment issues, and optimize compute utilization at Capital One.
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Data platform: Hadoop, Hbase, OpenSearch, Kafka, Spark, Flink, Go, Java, SQL, Databricks, Snowflake, BigQuery. Experience with big data and workflow management technologies like Hadoop, Spark, Redshift, Athena, Airflow, etc.
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Must be proficient with multiple data engineering and integration tools such as Scala, Python, Spark, Snowflake, Redshift etc. 3+ years’ hands on experience with big data technologies (Spark, Snowflake, Redshift or similar technologies.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Additionally, knowledge of Data Lakehouse technologies like Apache Iceberg or Databricks will be a significant advantage, enabling you to further enhance our data management capabilities. Utilize Python to create scalable and reusable code for data manipulation and data engineering tasks.
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL. 2+ years of experience with Spark. Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL.
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spark job in Washington, DC
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