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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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Big Ass Fans, a perennial honoree among Best Places to Work offers employees competitive pay and a challenging and rewarding work environment! Big Ass Fans maintains an environment where each individual is valued and respected.
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Experience with some of the following: Kubernetes, Docker, Helm Charts, Hadoop, Cloudera, Hortonworks, Apache Storm, Apache Spark, HBase, YARN, map-reduce, big-data analytics, semantic-web (RDF, OWL), Hive, Elastic Search, MS SQL Server Big Data, and graph-databases.
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Experience with big data technologies (Hadoop, Hive, Presto, Pig, Spark, etc.) Were looking for an experienced Data Engineer to join our growing team focused on building, supporting and enhancing the Oracle Hardware Divisions (OHD) big data and analytics platform.
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Minimum of 10 years of experience in big data, database and data warehouse architecture and delivery. Big Data/analytics/information analysis/database management in the cloud.
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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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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Experience with Big Data Technologies (NoSQL databases, Hadoop, Spark, Elasticsearch, Databricks, etc.) Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data Factory, Spark, Spark Streaming, etc.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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As a data architect, you will focus on the big picture of an organization’s data strategy. We are open to proficiency in a variety of technologies: SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Cassandra, Aurora, ZooKeeper.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Stay abreast of the latest advancements in Databricks and other relevant technologies to continually enhance data engineering practices.
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Familiarity with AWS cloud platform and the associated big data frameworks (Spark, Redis, Bigquery/Redshift, Airflow, Glue, Snowflake, Databricks). As a Data Engineer, you'll play a pivotal role in designing and maintaining our data infrastructure, ensuring the integrity and accessibility of our data for informed decision-making.
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Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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big data jobs Title: data manager Company: Accenture
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