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Reporting to Application Development Manager, the Big Data Software Engineer IV will work on a dedicated team of engineers developing, enhancing, and maintaining Availity's high transactional Provider Data Management platform.
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Experience with modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Utilize programming languages like Java, Pyspark, Python and Open Source RDBMS and NoSQL databases, and Cloud-based data warehousing services such as Redshift and Snowflake.
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Implementation experience of two or more of Modern data platforms (AWS/Azure Synapse/Redshift/Snowflake, Databricks, Redshift, Big Query,) required. Advanced experience with modern data platforms (Azure Synapse, Databricks, etc.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Experience with multiple big data solutions such as DynamoDB, MongoDB, BigQuery, Databricks, SnowFlake, etc. Our data processing capabilities are powered by Spark, BigQuery and Databricks, handling petabytes of data.
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Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies. Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines.
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Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Knowledge of one or more of the following Computer Science disciplines: parallel programming, embedded systems, high performance computing, scientific data analysis, machine learning, systems programming, software engineering, and big data technologies.
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Ensure relevant knowledge and skills are up-to-date, e.g. methods and tools within data mining, statistical methods, machine learning, big data analysis, predictive analytics, programming, and relevant hardware/software engineering.
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Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR. 4 years experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js), Typescript, and Java.
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Years' experience in IT Consulting, Management Consulting, Process Improvement, or similar area Bachelor's degree in Business Informatics, Computer Science, Mathematics, or other Information-oriented degree program Basic knowledge of SQL Strong interest and/or experience in Big Data, Data Mining, and Process Mining Experience with other programming languages such as Python, R, MATLAB, etc.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Deep understanding of Apache Spark, Delta Lake, and related big data technologies, and proficiency in modern programming languages such as Python and Scala. Delaware North Lead Data Engineer, Databricks Buffalo , New York Apply Now Delaware North is hiring a Lead Databricks Engineer to join our IT team in Buffalo, New York. As a Lead Databricks Engineer, you will be responsible for leading the development and optimization of our Databricks-based data processing and analytics platform.
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Looking for a strong Big Data Engineer with Spark, Scala, SQL, and Azure. Architecture and Platform Organizations are looking for an experienced Big Data Engineer to build analytics and ML platforms to collect, store, process, and analyze huge sets of data spread across the organization.
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