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End-to-end supply chain of data including, but not limited to, AI and Advanced Analytics, Business Intelligence, Cloud enablement, Data Privacy, Data Science, Digital Transformation, Data Governance / Data Management, Enterprise Data Architecture, RPA/Intelligent Automation, Risk and Regulatory Compliance.
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Experience of data dashboard or programmatic data visualization using Tableau, Qlik, Power BI, Python, D3. Strong hands-on experience in the Bash scripting and Python toolkit for data manipulation and machine learning (e.g., NumPy, Scikit-learn, TensorFlow, PyTorch.
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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. Role DescriptionDropbox 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 DropboxDo you dream about Data and talk to your friends in SQL.
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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
$140,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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As a Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals. Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights.
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The Data Center Construction Manager will be responsible for construction project management and oversight of construction related activities as they relate to new builds or general capital projects which includes the ownership of the project scope, quality, schedule, and budget.
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Prior to Nutanix, I founded a VC-funded start-up in AIOPs space and did a PhD in the area of data center operations management from Georgia Tech. I hold a B.Tech. from IIT Kharagpur. Expert in Python especially in AI/ML libraries such as PyTorch, Tensorflow, Sklearn, LLM tools such as Spacy, and data engineering tools such as Pandas, Numpy, Spark.
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ExposureMinimum 5+ years of experience Worked on large Data Engineering initiatives from start to finishFormal ETL tooling (Informatica, DataStage, etc.) Azure experience (not just a “cloud engineer” or just using services but more on data / migration side and creating pipelines etc.
$110,000 - $125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Maintain, sustain, and modify the software applications for SCS using documented software engineering practices, as documented in a Software Development Plan (SDP) Contract Data Requirements List (CDRL) A004.
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Micro-batch streaming and continuous streaming process in Databricks for high latency, low latency and ultra-low latency of data accordingly by using inbuilt Apache spark modules. Strong hands-on expertise in building Data engineering solutions using Java, Apache Spark and Scala.
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Required and Desired Skills/Certifications: Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt Knowledge of AWS cloud services such as S3, EMR, Lambda, Glue, Sage Maker, Redshift & Athena and/or Snowflake.
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Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
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Expertise in database science (including expertise in SQL), bigdata, columnar data warehouses, data warehouse design and management. Gala is at the forefront of creating innovative web3 experiences and deals with a large number of disparate entertainment products that are disrupting engagement in the web3 space with Games, Music and Film. This involves decision making that are data-critical with low failure tolerance and high usability.
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Azure Data Architect – Remote Contract. Extensive experience as an Azure data architect, with a strong background in Azure data Lake, SQL, Databricks, and PowerShell Scripting. This role will be pivotal in driving their migration to Azure, leveraging your expertise in Azure Data Lake, SQL, Databricks, and PowerShell Scripting.
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data job Title: trainee Company: Johnson
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