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Experience with ETL/ELT tools like ADF, Informatica, Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift, Snowflake, Google Big Query etc. Strong experience with big data tools (Databricks, Spark etc.
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Job Title: AI Big Data Engineer. Proficiency with big data frameworks and tools (e.g., Spark, Kafka, Hadoop). Implement business logic on modern data platforms (e.g., AWS Glue, Azure, Databricks.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Extensive expertise with Apache NiFi Java Java Spring Boot microservices AWS (Redshift Athena) and big data technologies. Provide technical expertise in Java programming Spring Boot microservices and big data technologies in an AWS cloud environment (Redshift Athena etc.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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Tools and technologies for working with Big Data including event streaming (e.g. Kafka MQTT) largescale data processing (e.g. Apache Spark Ray) and storage solutions for Big Data (e.g. Apache Iceberg Delta Lake.
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Familiarity with big data technologies such as Spark, Snowflake, Databricks, or EMR. You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Professional experience in Data Engineering using Google Big Query (GBQ) and Google Cloud Platform (GCP) data sets and building data pipelines. Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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Experience with big data technologies Hadoop, Spark) and cloud platforms AWS, Azure). We are seeking a talented and experienced Data Scientist to join our team onsite at Warner Robins Air Force Base (AFB), GA. This role is integral to harnessing data to support mission-critical decisions in a secure defense environment.
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Scripting languages (i.e. Python, R) and big data technologies (i.e. Databricks, Snowflake) are a huge plus. ● Coordinate the ingestion, aggregation, and materialization of small-to-medium-to-very-big tables used by data analysts and scientists.
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Job Req ID: 25480 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Google Kubernetes Engine (GKE); GCP; ETL - Big Data / Data Warehousing; Cloud Networking; Machine Learning; Kubernetes; OpenShift; Postgres / PostgreSQL; Git (GitHub, GitLab, BitBucket, SVN); Agile Champion; JIRA; Rally; API; Big Data; Python; Firewall; Functional Testing; Kafka.
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The ideal candidate will have experience with DBT, Snowflake, Python and Azure, along with a strong foundation Big Data, and Cloud Platforms. Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large-scale data processing.
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big data jobs Company: Soliant in IA, Nebraska
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