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Familiarity with Databricks for big data processing and advanced analytics. Utilize Databricks for big data processing and advanced analytics. As a MarTech Engineer, Business Intelligence (BI) Analyst, you will play a crucial role in transforming data into actionable insights that inform business strategies and drive performance.
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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow. As the Azure Databricks Tech Lead, you will play a pivotal role in architecting, implementing, and optimizing Azure Databricks solutions to support our data engineering and analytics initiatives.
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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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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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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Are you an accomplished Data Engineer who wants to further grow their Databricks expertise, develop technical content and presentations, and help build a best-in-class Databricks community of practice.
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They include Databricks, SPARK Streaming, Azure SQL, Delta Lake, Azure Data Factory, HD Insights, and Notebook. Incorporate data governance into the solution design, which includes policies, procedures, and standards for managing and using dataContinuously optimize the performance of data pipelines in Databricks and Azure Data Factory (ADF.
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Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers. Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow.
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Enterprise Data Analytics team is looking for a contracting resource with proficiency in Python programming, SQL, Big Query, Vertex AI, Kubeflow, TensorFlow, Google Cloud Storage, Kubernetes, Pub/Sub, Dataflow and other related tools within the Google Cloud Platform ecosystem.
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Expertise in two or more of the following areas: a) Solar photovoltaic design b) Battery storage system design c) Geospatial data analysis and forecasting d) AI applications in renewable energy 2.
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Develop and maintain detailed As-Built records for each LRF, each must be updated every year at a minimum, and be stored on the core data repository; these records include but are not limited to, matrices, current system site photos, antenna infrastructure, Telco runs, access data, site inventories, local contact information, local contractor contacts, HVAC systems, RF runs, archive data, and other miscellaneous documentation supporting the needs of other departments.
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Certification(s) Required: GCP PROFESSIONAL DATA ENGINEER, APACHE AIRFLOW CERTIFICATION, HADOOP CERTIFICATION. Required Skills: D365 Common Data Service, Dynamics AX, GCP Dataflow, Hadoop.
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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. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making.
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Ability to use AWS, Oracle, SalesForce Sales Cloud, Data Cloud & Marketing Cloud;, Informatica MDM & ETL, and MuleSoft as platforms for Data Services. Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica.
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Sr. Manager – Data Platform, Tools & Frameworks. Apache Spark, Kafka, Airflow, Kubernetes, Databricks, Snowflake. Implement cutting-edge AI/ML techniques, including Generative AI, to boost the efficiency of the platform and data engineering processes.
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databricks big data engineer jobs Title: data engineer sr Company: Kroger in Atlanta, GA
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