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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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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. What you'll work on: Collaborating with business teams on the design, deployment and continuous improvement of the scalable data platform that ingests, stores, and aggregates various datasets, including data pipelines, platforms, and warehouses, and surfacing data to both internal and customer-facing applications.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data.
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Hands-on experience with Databricks for big data processing and analytics. Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand requirements and deliver robust data solutions.
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Experience with big data technologies (e.g., Databricks, Snowflake) and data visualization tools (e.g., Qlik Sense, D3. Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets.
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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 a data engineer, you have experience spanning traditional DW and ETL architectures and big data ecosystems like Databricks / Snowflake / EMR / Airflow. Dropbox is looking for a Data Engineer to join our Finance Data Engineering (FDE) team to build out next generation Financial data pipelines that power crucial business decisions throughout the organization including metrics (ARR, Churn) that are reported externally to Wall St. The team is responsible for curating Gold Datasets (user, team, product etc) that are the source of truth for analytics and operations at Dropbox.
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Monitors, analyzes, reports and troubleshoots the existing big data platform. 1-3 years of experience with Cloud Computing (GCP, Big Query, Snowflake) Familiarity with the areas and concepts in Master Data Management, Data Warehousing, Analytics, ERP, and CRM.
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Express has an exciting opportunity for a curious, motivated, forward thinking, analytical software senior data engineer to join and shape the future of the Enterprise Data team for the Enterprise Data department.
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Develops technical tools and programming that leverage available technologies (e.g., artificial intelligence, machine learning and big-data techniques) to cleanse, organize and transform data and to maintain, defend and update data structures and integrity on an automated basis.
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Working knowledge of Business Intelligence tools: Tableau and PowerBI. Experience with other Big Data tools such as Spark, Snowflake, and Kafka Experience creating and using APIs Preference for background in Financial Services in Wealth Management/Independent Broker Dealer/RIA EDUCATION AND EXPERIENCE: Bachelors/Masters in Computer Science, MIS/Information Management, Engineering or related field 3+ years experience in Data Engineering role.
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Experience working with Big Data technologies such as Spark, Kafka, DataBricks, Hive, or equivalent. Analyze data and assist with developing insights (e.g., via data visualization tools like Power BI / SAC) to enable business decision making.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Lovelytics is seekinga skilled consultant with experience delivering and leading strategic Databricks and data engineering client engagements.
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Preference for experience in one or more emerging big data technologies such as Hadoop, Cassandra, MongoDB and associated data integration tools like Kafka and Nifi. Experience with data visualization platforms like Microsoft Power BI or Tableau is also a plus.
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big data jobs Title: business analyst Company: Github
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