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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. 8+ years of professional experience with Data Management technologies and a minimum of 8 years of EDW Experience with 3 - 5 Years of Experience with Databricks, Lakehouse Architecture, and/or Spark/Scala.
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Highly comfortable with object-oriented programming paradigms (e.g., Python, Java, Scala). Hands-on experience shipping scalable data solutions in the Azure Cloud (e.g., AWS, GCP, Azure), across multiple data stores (e.g., Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats), and methodologies (e.g., dimensional modeling, data marts, star/snowflake schemas.
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3+ years of Apache Spark design and development experience using Scala. 3+ years of Apache Spark design and development experience using Scala. 3+ years of working with messaging/data streaming services especially Kafka.
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Java, R, Python, Scala, SQL and OPL). US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. Java, R, Python, Scala, SQL and OPL.
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Hands-on experience in designing and building highly scalable and reliable data pipelines using Big Data stack (e.g., Airflow, Azure Data Pipeline, Spark, Hive, Parquet/ORC, Protobuf/Thrift, etc.) We hire the best and the brightest from across the country constructing a team of experts in architecture, design, engineering, project management, and business services.
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AWS Data Bricks Spark/Scala Engineer. 6-8 years of strong experience in Spark, Python, Shell Scripting, PostgreSQL, Hadoop, AWS (S3, EC2, SNS, SQS, Lambda, ECS, Glue, IAM, and CloudWatch), Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration.
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Strong programming skills in one or more programming languages (Python, R, Scala), and proficiency in popular deep learning frameworks like TensorFlow or PyTorch. Strong programming skills in one or more programming languages (Python, R, Scala), and proficiency in popular deep learning frameworks like TensorFlow or PyTorch.
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Deploying and administering Hortonworks, Cloudera, Apache Hadoop/Spark ecosystem on On-Prem & AWS cloud. Deploying and administering Hortonworks, Cloudera, EMR, Apache Hadoop/Spark ecosystem & AWS Administration.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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Extensive knowledge in different programming or scripting languages like Go, Scala, Java, Javascript, SQL, Bash, Python and/or R. This role will drive the engineering and building of geospatial data assets to support Bayer’s Field Platform and R&D product pipeline.
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Are you a seasoned Java Full Stack Developer with a flair for Scala programming? Job Title: Java Full Stack Developer with Scala. Utilize 7-10 years of IT programming experience in Java and Scala to develop robust applications.
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Proficiency in various programming or scripting languages such as Go, Scala, Java, Javascript, SQL, Bash, Python, and/or R. Keywords: Geospatial Engineer, GCP, Big Data, Cloud Architecture, Python, Golang, Agriculture, Open Source.
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Design, build, and support cloud and open-source systems for processing geospatial data assets via an API-based platform. Collaborate with internal development communities to integrate necessary data sets into the asset, making data available to Bayer Enterprise and internal development teams.
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The big data engineer should be able to develop prototypes and proof of concepts for the selected solutions. Design, build and support of cloud and open source systems to process geospatial data assets via an API-based platform.
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Build core datasets to serve as unique sources of truth for various business functions including project management, estimating, procurement, finance, operations, and engineering. We are building our core Data Team, as a Data Engineer, you will play a crucial role in building foundational datasets, designing pipelines, and developing the infrastructure to support them.
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