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DataBricks Architect with Apache, Spark, Python, ETL. Hands-on experience with Databricks platform and Apache Spark. In-depth knowledge of Apache Spark and its ecosystem.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Design, implement, and maintain complex ETL pipelines using tools such as Apache Spark, Apache Airflow, and AWS Glue for both batch and near real-time data processing. Expert knowledge of distributed data processing frameworks like Apache Spark, Hadoop, or Flink.
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Agile Development, including Scrum and Kanban Methods, Communication, Complex Problem Solving, Data/BI/Analytics Tools (e.g., SQL, Tableau, Qlik, Business Objects, Python, R, etc.
$136,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work Experience: 3+ years of experience in Audit or IT Audit using data analytics (Alteryx, Python, R, SQL). Software/ Programming Languages: Python, R, SQL, VBA.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc.
$127,100 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apache Spark: Spark SQL, DataFrames, RDDs. Data Transformation: Data cleansing, enrichment, aggregation, scripting (Python, SQL) Apply advanced programming skills in languages such as Python or SQL for querying and managing data, contributing to efficient and effective data processing and analysis.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage. Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, using technologies such as Apache Spark, Hadoop, and Kafka.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, Snowflake, AWS, GCP) Collaborating with the Head of Technology, the Business Intelligence Engineer will design, develop, and support business intelligence solutions that turn data into actionable insights that support business decision-making, analytics, and product development.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Expertise in Python and SQL, with working experience in Apache Spark, Databricks, or other big data systems. Distinct experience in advanced probability, statistics, machine learning, big data processing, analytics, and pipelining using Spark is essential, as well as experience in deep learning, generative AI, LLMs, and NLP. This role involves developing data science solutions, mentoring and imparting knowledge about machine learning and data concepts and techniques, as well as driving adoption of standards, processes, and tools to achieve high operational efficiency.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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It delivers accurate, real-time data, insights, and technology to more than 35,000 companies worldwide. More information about this tool, including the results of the most recent bias audit, is available here.
$242,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Experience with Spark, SQL and Python scripting within Azure Databricks. - Work with technology and business users to define and document data requirements for new and existing data feeds.
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Required Knowledge & Experience REQUIRED EXPERIENCE Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position 8+ years of experience in Information Technology.
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Java, JavaScript, Python, R, SQL. Career Segment: Sustainability, Research Scientist, Technical Writer, Data Mining, Supply, Energy, Science, Technology, Operations.
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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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information technology python sql r apache spark jobs Title: data scientist
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