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We seek an experienced Senior Big Data Engineer to lead and enhance our data engineering initiatives. 5+ years of hands-on experience in Big Data engineering with a strong focus on Impala, Spark, Scala, Hive, Hadoop, and associated technologies.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Experience with big data tools such as Spark, NiFi, Kafka, Flink, or others at multi-petabyte scale. We are seeking an experienced Data Engineer (DataBricks) to join our team! Define and build required capabilities to achieve the client's vision through improved data strategy and operations.
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Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics. Techniques: Statistical Analysis, Visualization, Optimization, Machine Learning, Big Data, Data Warehouse, NLP.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Drive the adoption of data science-driven mechanisms and machine learning models to continuously evaluate and improve catalog data quality.
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Ensure the continuous improvement of data quality and completeness across Walmart's omni-business. Accurate and timely market data is critical to protecting our "Save Money, Live Better" promise, operating at low cost, and helping customers make purchase decisions.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plusPrior domain experience of Life Insurance, Annuity or Financial Services is a plusAWS Certifications are considered a strong plusExcellent verbal and written communication skills.
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This technology leader will bring in the experience of SaaS/cloud solutions (Azure), data engineering techniques, DevSecOps automation and best practices in building, maintaining, and enhancing state of the art big data Platforms.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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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). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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As a big data engineer at Booz Allen, you'll implement data engineering activities on some of the most mission-driven projects in the industry. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar. The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflowfor several projects.
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NET Core ASP.NET, MVC, Entity framework, Unity, o JQuery, knockout, Angular, JS libraries, CSS Bootstraps, Visual Studio 2017, REST, LINQ, ArcGIS, ESRI, SQL Server, Dynatrace, o Cloud Managed SQL, Big data/data lakes.
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Responsibilities:The Data Engineering team is looking to fill a Senior Data Engineer responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for several projects.
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big data jobs Title: consultant Company: Agreeya Solutions
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