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Support the design and development of a machine-learning framework on databricks. Support R&D based activities related to predictive analytics and machine learning. As a Data Engineer on the LAPA team, you will be responsible for designing and implementing data pipelines using industry-leading cloud applications such as Databricks and orchestration tools such as Azure Data Factory.
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Experience as Azure DevOps Engineer, knowledge of DevOps tools, basic knowledge of IT applications and Azure Cloud services, Agile mindset and scrum experience. At least 3-5 years of experience as an Azure DevOps Engineer, knowledge of Infrastructure as Code principles, good understanding of Azure platform, proficiency with Git and Azure DevOps, knowledge of Agile software development methodologies.
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As a Data Engineer within Seriös Group you are a key player in the implementation of our client’s cloud data platforms, IoT analytics, data integration and migration projects. Experience implementing solutions using at least one of the following technologies Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google Big Query, Alteryx, SSIS, Informatica.
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Set up ELT pipelines and productionize machine learning algorithms. At least 5+ years of data engineer and/or software development experience. As a Senior Data Engineer, your main task is to preserve the foundations of the Data team, that is extracting the value of all the data we collect at Carepay for the benefit of our members in low-income countries.
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We are looking for a driven Data Engineer to add to our growing team who will be foundational to the company’s operations by supporting the business and finance teams. Experience with Enterprise iPass platforms: Snaplogic, Dell Boomi, Mulesoft, etc.
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Machine Learning Experience: Proficient in ML frameworks and libraries, able to work closely with Data Scientists to optimize data solutions. Cutting-EdgeTech: Work with state-of-the-art technologies in an agile environment, including Kafka, Parquet, Python, Kotlin, GoLang, AWS S3 and Redshift, dbt, and Airflow.
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Data engineer - Technology consulting page is loaded Data engineer - Technology consulting Apply locations Prague time type Full time posted on Posted 30+ Days Ago job requisition id 287915WD Job Description & Summary.
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A solid academic foundation in computer science, information systems, engineering, machine learning, or another quantitative discipline, supported by substantial commercial experience and Python programming expertise.
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5y of experience working as a Data Engineer. Our relentless sales machine will provide you with fun and meaningful assignments that each one typically range from 6 to 24 months. with tools such as Python, Snowflake, Airflow, DBT, Tableu, ELT/ETL, BigQuery, Looker Studio, Kafka, Hadoop, Spark, SQL.
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Diese Stelle ist als unbefristete Vollzeit- oder Teilzeitstelle (min.
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We help colleges and students connect with each other in a safe and welcoming environment, and we've raised from venture investors including Forerunner Ventures (backed Glossier, Hims & Hers, Chime, Warby Parker), Redpoint Ventures (backed Stripe, Snowflake, Nextdoor, Twilio), and Abstract Ventures (backed Popshop, Poparazzi, Rippling, WorkOS).
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Several years experience as a Data Engineer or comparable, ideally in a client facing and data environment. Practical & recent experience in data pipeline development with Big Data frameworks (Databricks, Spark, Kafka), data modelling approaches (Star schema, Snowflake, Data Vault), and Azure Services (Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
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As part of the Direct-to-Consumer Decision Sciences team, the Lead Data Engineer will be responsible for creating a connected data ecosystem that unleashes the power of our streaming data. In this role, the Data Engineer will share responsibilities in the development and maintenance of optimized and highly available data pipelines that facilitate deeper analysis and reporting by the business, as well as support ongoing operations related to the Direct-to-Consumer data ecosystem.
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Unsere Tätigkeit erstreckt sich über mehrere Bereiche von Spitzentechnologien wie KI, Machine & Deep Learning, BI/BD, RPA, Blockchain, IoT und CyberSecurity. Als Senior Big Data Engineer arbeitest Du in mehreren Teams mit u.a. Data Engineers, -Architects und -Scientists zusammen, um hochmoderne Data Analytics-Plattformen aufzubauen und zu betreiben.
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Our Enterprise Data & Analytics (EDA) is looking for an experienced Senior Data Engineer to join our growing analytics engineering team. Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week.
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Title: machine learning engineer Company: Tinder in Snowflake, AZ
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