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We are hiring a talented Senior Big Data Engineer to build cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.
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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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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Databricks Certified Developer or Databricks Certified Data Engineer certification.
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Big Data Engineer. Senior Software Engineer – Data | SEB, Vilnius. Remote Data Engineer. Experience as a Data Engineer/Data Scientist, skills in designing frameworks, working with DE/ML frameworks, obtaining data from APIs, FTP, and Data Science libraries and frameworks.
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Expert understanding of MS Office, Excel, SQL, or other data visualization tools and big-data analytic techniques for structured and unstructured data. Practical understanding of MS Office, Excel, SQL, and PowerBI or other big-data analytic techniques for structured and unstructured data.
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Strong project experience in Big Data, Cloudera Distribution. experience in Big Data, Cloudera Distribution 7. Data Hadoop Engineer. experience building data pipelines using Hadoop components Sqoop, Hive, Solr.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics. Proven experience as a Technical Lead with a focus on Databricks 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 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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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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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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big data jobs Title: data software engineer Company: Comcast
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