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Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Familiarity with big data tools such as Spark, or similar technologies. Proficiency in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Familiarity with big data tools such as Spark, or similar technologies.
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You have experience with ETL and distributed computing tools such as Spark, SQL, etc. Developing ingestion/pre-compute jobs using container orchestration tools ( Airflow )Collaborate with the Data Science and Machine Learning teams to gather requirements, and work through implementing solutionsIterate on Mailchimp’s Prompt Management platform to accelerate the ability of our product teams to use LLM’s effectively and responsibly.
$152,000 - $205,500Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Apache Spark preferred. Strong experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep.
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Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran and Airflow. Experience with Informatica, Kafka, CDC, SQL, Irwin, Python, AWS (S3, Athena, Glue, Kinesis, Redshift), Spark, Scala, AI/ML, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
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Minimum of 5 years of experience using any of the following: Python, Spark/ Spark SQL, Hive, or Databricks. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Deep experience with data pipelines (ETL/ELT, Spark, dbt, Airflow, Databricks, etc.) Deep experience with data pipelines (ETL/ELT, Spark, dbt, Airflow, Databricks, etc.) Experienced with cloud infrastructure (infra as code, cdk, Terraform, Kubernetes, containers & images.
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Two or more of the following other languages: Python, SQL, Java, C#, R, JavaScript, Go, Spark. Experience with implementing ML solutions with two, or more, cloud frameworks (e.g., AWS Sagemaker, Azure ML Studio, Google Cloud Vertex AI.
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4+ years of experience with Python, R, Spark or SQL. You have passion and expertise in one or more of the following areas: risk analytics, data analytics, machine learning, SQL, Python, cloud security, network security, vulnerability management, data protection, threat intelligence & investigations, and identity & access management.
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Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling. Managing model risks in line with Visa Model Risk Management requirements. Experience with modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow.
$122,900 - $178,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with big data technologies (e.g. Apache Spark, Hadoop) and data processing frameworks. Integrate data platform infrastructure with other systems fostering seamless collaboration among teams e.g. system integration with Fivetran, Monte Carlo, Salesforce Data Cloud, Tableau, Looker, Teradata, Bigquery.
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You will develop solutions using various technologies like Spark, Databricks, Hive, ADLS, PostgreSQL on cloud. Experience in design and deployment of data products in Databricks (Datalake) and Snowflake (Data Warehouse environments.
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Knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, GoogleCloud, hadoop, HDFS, mapr and spark.
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Familiarity with related technologies such as TensorFlow, PyTorch, and scikit-learn, as well as data processing frameworks like Apache Beam and Apache Spark. Familiarity with related technologies such as TensorFlow, PyTorch, and scikit-learn, as well as data processing frameworks like Apache Beam and Apache Spark.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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spark job Title: negotiator in Atlanta, GA
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