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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. AWS, Docker, Airflow, Databricks.
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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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Would be preferred to have executed end to end implementation/migration of a Data Warehouse and Big Data (Hadoop) project from on prem to GCP (using Google BigQuery, DataFlow, DataProc etc.
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Comfortable handling, implementing, and using audit and compliance management tools (Alation, BigID, Immuta and Anomalo) in industry forward data warehouses (Snowflake, Databricks). Our Data Products & Platforms organization is seeking a Governance, Risk & Compliance (GRC) Sr Software Engineer who will be an outstanding addition to our team.
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Required) At least 5-6 years of experience in developing and maintaining data pipelines using Azure Databricks, Azure Data Factory, and Spark. Design, develop, and maintain scalable data pipelines and ETL processes using Azure Databricks, Data Factory, and other Azure services.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
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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.
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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.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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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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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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Skills req'd incl but not limited to exp w/: Dsgn'g, dvlp'g, implementing & tuning distributed data processing pipelines that process lrg volumes of data & data mgmt on Azure Databricks by using Pyspark, Databricks, Azure cloud storage & Python; Dsgn'g, dvlp'g, implementing & tuning distributed data processing pipelines that process lrg volume of data & data mgmt on BigQuery by using Pyspark, Dataproc, BigQuery, GCS & Python; Orchestrating & monitoring data pipelines using Airflow.
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Familiarity with data privacy standards, methodologies, and best practicesPractical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
$148,800 - $248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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If you have a strong background in AWS and either Databricks or Snowflake, along with experience in data modeling and solution architecture, we encourage you to apply. Title - Solution Architect (AWS and Databricks or Snowflake.
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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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databricks big data jobs Title: data engineer sr Company: Kroger in Irving, TX
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