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IPaaS Integration Platform (Boomi), Databricks (Spark, Delta Lake, etc.) iPaaS Integration Platform (Boomi), Databricks (Spark, Delta Lake, etc.) Demonstrated experience with enterprise data integration technologies, ESB (WebMethods, Boomi, Oracle, IBM, Mulesoft, etc.
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As an integral part of our team, you will not only need to tackle operational challenges at every layer of the system infrastructure, but also set up essential tools like Spark, Databricks, Snowflake, Kubernetes, and Kafka for data science infrastructure.
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Technologies - IaaS (AWS or Azure or GCP), Databricks platform, Delta Lake storage, Spark (PySpark, Spark SQL). Data Processing and API Integration: Utilize Spark Structured Streaming for real-time data processing and integrate data outputs with REST APIs.
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Experience with data warehouse and big data technologies such as Azure Synapse Analytics, Azure Data Lake Storage, Spark, Kafka, Databricks, and Containers. Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Strong programming skills in languages such as Python, Java, or Scala, with experience in data processing frameworks like Apache Spark or Apache Flink. Data Processing Frameworks: Lead the implementation and optimization of data processing frameworks and technologies, such as Apache Hadoop, Apache Spark, and Apache Flink, to enable efficient data processing and analysis.
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Configure and maintain systems such as Kubernetes (Helm, Charts, ArgoCD), Kafka, Spark, Elastic, Bitbucket / GitLab, Nexus, and Jenkins. Radian is helping to ensure the American dream of homeownership in even bigger and better ways with industry-leading mortgage insurance and a comprehensive suite of mortgage, risk, real estate, and title services.
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Ideally looking for applicants with a solid background in Databricks, O&M, AWS, Azure, SQL Server, Python, MapReduce, Spark, Scala would be a big plus. Understanding of Python and knowledge of parallel processing frameworks like MapReduce, Spark, Scala.
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Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data. A multinational organization with 48 offices in 19 countries and the possibility to work abroad.
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Stream Processing Master: Experience with batch and stream processing technologies like Apache Kafka and Spark to handle data pipelines of all sizes. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience. Be the spark that brightens days and ignite your career with TTEC's award-winning employment experience.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL) Experience in building & utilizing tools and frameworks within the Big Data ecosystem including Kafka, Spark, and NoSQL.
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Experience with Apache Spark or large-scale data processing. Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries.
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10 years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar. Must have 10+ years of experience in building data science, machine learning solutions using Python, Scala, Spark DataBricks, SQL or similar.
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Should have certified in Spark from Cloudera or Databricks or Hortonworks. Big Data Developer- Spark with Java. 10+ years of overall IT experience with 5+ years of experience in Java and 3+ years of experience in Spark using Java/Scala.
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Knowledge of big data tools and architectures like Hadoop, Kafka, MongoDB, and Apache Spark preferred. Oversee the implementation and optimization of Apache Spark for large-scale data processing and analytics.
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spark job in New Orleans, LA
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