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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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Experience with cloud-based data warehousing platforms such as Synapse, AWS Redshift, Google BigQuery, or Snowflake. Mentor and train other data engineers on best practices for data engineering and Databricks usage.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
$120,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB. If you answered yes, come to PNNL. As a member of PNNL’s Software Engineering and Architectures (SEA) team you will play a crucial role in developing cutting edge software, scalable data architecture & pipelines, and AI/ML solutions in support of some of the nation’s biggest and most complex challenges.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$156,000 - $312,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. automate export/import metadata to and from the Data Governance platform.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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As a Senior Power BI Developer, you will be responsible for designing, developing, and implementing business intelligence solutions using Microsoft Power BI. Your expertise in data visualization, dashboard creation, and data analysis will play a crucial role in enabling data-driven decision-making across the organization.
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
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The ESG (Environmental Social Governance) Data & Reporting Analyst will be primarily responsible for supporting the Sustainability Director and the Environmental Director in meeting the organization’s ESG objectives.
$57,000 - $85,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Special Projects team within Microsoft Research & Incubations is searching for a Research Data Scientist who is eager to tackle unique challenges around knowledge extraction, representation, and Large Language Models (LLM) memory systems.
$94,300 - $238,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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Proficiency with Databricks, Terraform, Data Streaming, DBT, RBAC (Role Based Access Control) a strong plus. Experience in cloud data engineering (S3, RDS, Redshift). 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.
$102,000 - $154,000 a yearExpandApply NowActive JobUpdated 2 days ago
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