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We are seeking a highly skilled Lead Azure Databricks Engineer with extensive experience in Databricks Delta Live Tables and Unity Catalog. Job title: Lead Azure Data Engineer / Architect.
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Databricks (Data Engineering), Azure Data Factory, Azure services such as Databricks, ADF, and ADLS, as well as Pyspark. MUST HAVE - The individual team member will be involved in creating the Performance/Automation Framework to test/validate Azure Databricks – ETL Pipelines and captures related KPIs/metrics.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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The position requires a big thinker, external facing technologist with solid knowledge, experience and background of Cloud, Containers, ML, GenAI, API paradigm, Security (IAM), deeper understanding of platforms (Databricks/Snowflake/SaaS), Hyperscale's (AWS, Azure, GCP) and industry standards with solid coding and design skills.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Experience working with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes). Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.
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Lead data migration, modernization projects of databases/data warehouses (Oracle or Teradata) from on-premises to AWS/GCP cloud. Detailed understanding of the Cloud Infrastructure for building & maintaining large data enterprise in cloud platforms like GCP (BigQuery, BigTable, DataFlow, DataProc, DataPrep, Pub/Sub, Machine Learning.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Lead the architecture and design of data pipelines, data models, and ETL processes within Snowflake, Databricks and DBT Labs. The Senior Data Architect with Snowflake experience is a specialized role responsible for designing and implementing data solutions on Azure cloud platform, particularly leveraging Snowflake and DBT Labs. This role involves collaborating with clients and internal teams to architect, deploy, and optimize data solutions that meet business requirements while ensuring scalability, security, and performance.
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Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark, Hadoop) ● Experience with Data Processing: Hands-on experience with Databricks (4+ Years ) related to data cleaning, preprocessing, and feature engineering.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience in working with petabyte scale data sets and developing ML frameworks in Databricks, Snowflake or similar large platforms. Reporting to the Director of Machine Learning Engineering the role requires a skilled Machine Learning Engineer to design, build, and deploy machine learning models that will help us derive actionable insights and solve complex problems.
Full-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience working with Big Data technologies: Spark, Databricks or other frameworks. The candidate should possess intellectual acumen, with an engineering mindset and an interest in developing enterprise scale solutions using industry recognized cloud platforms, databases, data integration/orchestration tools, and big data technologies.
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We are seeking candidates experienced in Digital Transformation, particularly those proficient in Data (SME), and skilled in forming Strategic Partnerships with data platform companies like Snowflake and Databricks.
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Knowledge of Databricks is a big plus! Working knowledge of a cloud platform (preferably AWS or Azure). Develop and maintain robust, scalable, and efficient data pipelines using Snowflake, SQL, Tableau, and DBT.
$190,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Additionally, the role includes managing Okta identity and access management services, email encryption, Infoblox DDI solutions, DNS management, and enterprise printing solutions, with a specific emphasis on Microsoft Cloud services.
$52.1 - $69.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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databricks big data engineer aws cloud jobs Title: data engineer Company: Emerald in Irving, TX
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