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Apache Spark-> Cloudera - CCA Spark and Hadoop Developer (CCA175) Apache Spark-> Databricks Certified Developer: Apache Spark 2. Product SME for Confluent Kafka, Apache Spark, Talend.
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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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Demonstrate expertise and hands-on experience with Apache Spark tools such as Google Dataproc, Amazon EMR, and Databricks. 8+ years experience demonstrating an established track record in Data Engineering and Machine Learning; experience with GPUs as well as expertise in tuning and analyzing Apache Spark workloads.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Distributed Compute: Spark/Databricks. Frameworks: Flask, React, Tailwind, REST. Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Experience with AWS + Databricks Unity Catalog / Model serving.
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Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark. · Develop test maintain and document data pipelines using DBT Spark AWS Glue and Airflow. The ideal candidate will contribute to our Asset & Wealth Management domain leveraging their expertise in Python Apache Spark and various AWS services to drive innovation and excellence.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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Experience in Apache Spark, Databricks or similar distributed processing systems. Implement data pipelines using Apache Spark/Databricks. You will primarily be working on Apache Spark/DataLake/Airflow (in Python) and other cloud-based technologies.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, Master's degree 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.
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Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell ScriptingDesign the Data replication systems and integration systems by evaluating various products and deciding on the better technology that meets the corporate objectives.
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Knowledge of real-time data streaming and real-time analyticsKnowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory)Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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And familiarity with relevant frameworks and libraries for AI and big data, such as TensorFlow, Apache Spark, Databricks or Snowflake. Candidate should have in-depth experience in designing and implementing enterprise-wide cloud data and analytics platforms such as Hadoop, Spark, and Kafka for handling large volumes of document data efficiently and extracting insights effectively.
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3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) Senior Data Engineer (Python, Scala, or Spark) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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spark job Title: assistant Company: Boys And Girls Club Of Bluffton in Weehawken, NJ
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