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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Research and evaluate new technologies in the big data space to guide our continuous improvement.
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. In addition, be a key contributor in delivering critical business features with a passion for big data technologies.
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Our Data Engineer lead is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. We’re looking for an exceptional data engineer who is passionate about data for AI and values it can bring to our company, Who loves working with data ops at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Big Data Machine Learning Engineer. The Big Data ML Engineer fills a critical data, analytics, technology support, and innovation role for the business analytics and advanced analytics functions within the organization.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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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 bring to Circle:For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc) Apple MDM (Jamf, Addigy) experience is a big plus. We are looking for a self-motivated and talented Microsoft 365 Engineer to join our California-based Managed Services Provider.
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Demonstrate knowledge of current and emerging technology topics including cybersecurity, DevOps, privacy compliance, and data governance. Knowledge across a breadth of IT processes, including but not limited to: security operations, program management, security administration, system operations, change management, modern development (e.g., DevOps, Agile), data governance, privacy, and incident/problem management.
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Intermediate (3+ years) experience building database models for data visualization tools such as Power BI, Sigma, Tableau, or Looker. Hands-on experience building data warehouses and data marts with cloud databases such as Snowflake, Redshift, Oracle ADW, Azure SQL Server.
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Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products. Preferred Qualifications: Knowledge in enterprise data management architecture and principles, master data management, data governance and data qualityKnowledge in data modernization, Cloud, data migration and digital transformationMBA or master’s degree experience from a top-ranked institution.
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We are looking for a Vice President, Analytics & Insights to derive and deliver data-driven, actionable insights to answer client business challenges while also demonstrating the business impact of our work.
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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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big data jobs Title: devops engineer Company: Intuit in Chicago, IL
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