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4+ years of hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, gensim, nltk, and TensorFlow/PyTorch.
$124,800 - $220,800 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Staying on top of emerging trends in LLMs. Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. Strong problem-solving and communication skills.
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Hands-on experience with Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure SQL Database, etc. Come join our rapidly growing team, as a Mid-Level Data Engineer and work on mission-critical projects.
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Extensive hands-on experience with NoSQL (e.g. Mongo, Cassandra), Kafka, search engines (e.g. Solr, Elastic), cache (e.g. Redis, Memcached), and other data sources. Hands-on experience testing different kinds of software components, e.g. UI (web or iOS), APIs, data pipelines, ML models, etc.
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Hands-on experience building and deploying applications on public cloud such as AWS or GCP, using infrastructure as code (IaC) as well as using container technologies such as Docker and Kubernetes.
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Must have hands on experience developing data engineering solutions in Python using: S3, EMR, Glue, Athena, Kafka and notebooks. Must have hands on development experience in building distributed Big Data solutions including ingestion, caching, processing, consumption, logging & monitoring.
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Position Requirements 10+ years Hands-on Administration experience with Tools like Power BI or Tableau, Qlikview, Cognos, MicroStrategy. This leadership role requires extensive experience and is hands-on along with requiring the candidate to lead and influence a small team.
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Hands-on experience using Databricks or Apache Spark (i.e., PySpark, SparkR, or Scala) and understanding best practices. Collaborate with data scientists to analyze and select appropriate data models and algorithms that focus on improving clinical trials across multiple therapeutic areas leveraging diverse data.
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7+ years hands-on engineering and administration experience in data engineering on cloud platforms (Azure preferred) with RDBMS such as SQL Server, PostgreSQL, MySQL, with Snowflake experience as must-have.
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Hands-on experience with AWS, Kafka, and PostgreSQL. Sr. Software Engineer - Data Pipelines. Minimum 2+ years of experience as a Software Engineer, Data Engineer, or in a similar role.
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Significant software engineering experience focused on distributed systems, back-end services, data pipelines, or ML systems. Come join the Applied Machine Learning (AML) team to do your best work on exciting and groundbreaking projects that will surprise and delight our users.
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Hands-on data engineering experience building solutions to extract, load, and transform raw data in the form of several hundred, small data files and web scrapings with a variety of formats using a combination of Python scripting and AWS cloud services such as S3, Glue, Crawlers, Lambda, Step Functions, Redshift, DynamoDB, etc.
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5+ years of experience designing and implementing enterprise integration and/or ETL solutions including hands-on experience using Microsoft SQL Server and its BI stack (SSIS, SSAS, SSRS, Power BI.
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3+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc. Sr. Software Engineer - Data (Remote.
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Should have advanced SQL programming experience with GCP BQ. Hands on skills with GCP, BigQuery, Airflow, needed. Sr. Data Engineer - GCP/BigQuery - Agility Connect Jobs Referrals About FAQ Join Now Sign In Back to all Jobs Sr. Data Engineer - GCP/BigQuery Company Hidden Healthcare Columbus, OH Base pay $12,345 - $678,910 Log in or sign up to view salary and company information.
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hands on jobs Title: sr data engineer
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