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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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Presenteer je nieuwe skills aan het team, geef een training aan collega's óf een klantteam, klim op het podium tijdens een event als de Big Data Expo, host een meet-up, geef. Je moet je dus goed inleven in de organisatie van je opdrachtgever: een Manager wil andere informatie zien dan een Data Analist of Developer.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. We are seeking an experienced Data Analytics Director focused on the BSFI vertical, you will assume a pivotal role in leading our data analytics initiatives, providing pre-sales support, and delivering technical advisory services customized to the unique needs of our BSFI clients.
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Cerebra Consulting Inc is a System Integrator and IT Services Solution provider with a focus on Big Data, Business Analytics, Cloud Solutions, Amazon Web Services, Salesforce, Oracle EBS, Peoplesoft, Hyperion, Oracle Configurator, Oracle CPQ, Oracle PLM and Custom Application Development.
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Experience Big Data tools including with Hive, Spark SQL, Databricks, Delta Lake. Experience with Azure Data Lake store, Blob Storage, VMs, Data Factory, SQL Data Warehouse, Azure Databricks, etc.
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Proficient in Python/R, PyTorch/TensorFlow, SQL, Big Data and cloud technologies. 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.
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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE. Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). Deep technical understanding of major cloud tools like Azure, GCP, AWS, data analytics technologies, methodologies, and best practices.
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big data jobs Title: data manager Company: Geico
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