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Fully Remote Data Engineer - Databricks, Azure, Python, SQL Fully Remote Data Engineer - Databricks, Azure, Python, SQL Apply. Design, develop, and maintain ETL processes using Databricks, Python, and SQL.
$140,000 - $160,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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1+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Mid Level) 3+ years professional experience with SAS, SQL, R, Python or other statistical programming language (SAS/SQL preferred) (Senior.
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Sie verfügen über Erfahrungen mit relationalen Datenbanken (on-Premise wie cloudbasiert) und über Kenntnisse in Datenanalysesprachen oder -tools (Python, R, SQL, SAS, R, Python, Spark o.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop and maintain ETL processes using Python, PySpark, and SQL to extract, transform, and load data from various sources. Hands on experience in data engineering desired with extensive knowledge of SQL and PySpark, on Databricks Platform.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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They are seeking a Sr. Software Engineering Manager (Hands-On Python & Remote) who can act as a player-coach andwill be responsible for leading a team of fully remote Software Engineers. The SQL Database Administrator will be responsible for maintenance and support of the SQL Server database environment.
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Required skills include experience in SQL, Tableau, Python, data analysis, Unix scripting, AWS, Jira, Software Development Life Cycle (SDLC), Agile, and PL/SQL. Expertise in Machine Learning and Data Science, along with strong problem-solving capabilities and collaboration skills, is essential.
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Advanced degree in a quantitative discipline, strong programming skills (R, SQL, Python), expertise in machine learning and statistical modeling, experience with cloud deployment and services, familiarity with airline revenue management algorithms.
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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.
Full-timeExpandApply NowActive JobUpdated Yesterday - 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. Job Responsibilities:- 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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Expert experience using SQL, Python, Presto, Spark, Hive, Tableau, Airflow, Docker and/or equivalent data engineering and data analytics technologies. Collect and analyze large sets of data using SQL, Python, Presto, Spark, Tableau, Airflow and other data engineering and analytics tools.
$80,000 - $258,000 a yearFull-timeExpandUpdated 20 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 leading and managing 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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Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus. We are currently seeking a Data Engineer for a full-time, permanent (W2 only) position located on/near Scott Air Force Base in IL. This is a hybrid role that requires working onsite 3 days per week.
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You will be working with a tech stack that includes AWS (S3), SQL, Redshift, Python, Github, and Google Looker Studio. Familiarity with the current technology stack: AWS (S3), SQL, Redshift, Python, GitHub, and Google Looker Studio.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT. Strong proficiency in data engineering languages such as Python, SQL, Java, or Scala.
ExpandApply NowActive JobUpdated 2 days ago
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