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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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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$164,200 - $241,700Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep understanding of one or more of the big data compute technologies such as databricks, snowflake. Disaster recovery strategies for databricks environments, ensuring data resilience and minimal downtime in case of failure.
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Job Title: Big Data Engineer. You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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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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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). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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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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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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Our Data Engineer lead is responsible for building high quality ML datasets at scale, used to train ML models that power AI-centric features. 5+ years of experience as a data engineer building production-level pre/post-processing data pipelines for ML/DL models, including 2+ years of technical leadership experience.
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Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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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.
$116,280 - $150,480 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Strong knowledge of data management and modern data warehouse (Snowflake, Big Query) and ELT data acquisition/model building tools (Rivery, Fivetran), as well as dbt. 6+ years in a data analyst, business analytics engineer, business intelligence analyst or data analyst or related role with SQL experience and object oriented programming/scripting such as Python.
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Keep list of data steward up to date in the data governance catalog. Support implementation of data governance capabilities in the data catalog platform. come and join our global team as a Data Governance Intern.
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big data jobs Title: devops engineer Company: Intuit
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