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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
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Create data science assets and automations using a combination of tools and languages including SQL, Python, R, Alteryx, Tableau, Microsoft Azure (Fabric, ML Studio, ADF, Synapse, PowerBI, etc.
$195,500 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Ability to read, understand and script/code for data analysis, optimization, or regression (e.g. Python, R, MATLAB, STATA, Perl, PL/SQL, T-SQL, C#, Javascript, or GAMS. Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Skills Required: Requires experience in the following: Agile SDLC; Application Architecture Disciplines; Jenkins; NodeJS; Spring; Java; Python; React; Shell Scripting; SQL; REST; Maven; Apache Ant; JSON; Apache Zookeeper; AWS Cloud Services; Oracle; Apache Spark; Splunk; GIT; Junit; Unit Testing; and User Acceptance Testing.
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They include Databricks, SPARK Streaming, Azure SQL, Delta Lake, Azure Data Factory, HD Insights, and Notebook. Experience in handling and delivering big data analytics for daily users.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub. Experience with Microservices architectures - Kubernetes, Docker.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace. The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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The Sr. Data Engineer will design, build and operate high performance data centric solutions utilizing the comprehensive big data capabilities for the company's data platform environment.
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Experience with AWS, Splunk, Databricks, Python, Microsoft VBA, and Oracle/SQL based platforms. Responsible for utilizing big data technologies and knowledge of data science models to analyze large amounts of data and create valuable insights.
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Innova Solutions is seeking a skilled Data Engineer with expertise in Snowflake, dbt, GCP (Google Cloud Platform), and Python to join our team. Sr. Data Engineer (Snowflake, dbt, GCP, Python) - Hybrid.
$80 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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big data python sql pto jobs Title: engineer in Atlanta, ME, Canada
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