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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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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Data proc/EMR, Cloud Function/Lambda, Big Query/Athena, Big Table/Dynamo.
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Experience in Big Data ecosystem : ETL, tooling of Big Data Platform (Apache Spark, Airflow), Datalake, Synapse or Snowflake. As a Senior Reliability Engineer, you will play a critical role in ensuring the robustness, availability, and performance of our cutting-edge Data Engineering and Machine Learning Platforms.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Specialist Solutions Architect (SSA) - Data Engineering on the Public Sector team, you will guide customers in building big data solutions on Databricks that span a large variety of use cases.
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Familiarity with cloud-based platforms (e.g. AWS) and big data processing tools (e.g. Apache Spark) Data mining: Utilize NLP technologies to extract insights from internal data sources, including a mix of structured and unstructured data.
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Apply your skills with Databricks, using Python, and big data streaming to pioneer client technologies and data. Experience with large-scale distributed computing and big data technologies (databricks etc.
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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.
$85,800 - $180,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Develop Data Governance Tactics, Techniques and Policies (TTPs) to ensure that CCI EMSO remains ahead of Big Data demand and projects chartered by OUSD (I&S) that support Data Engineering and Science initiatives.
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We are searching for a Computer Vision/Machine Learning Engineer to join our collaborative group that includes a mix of big data, API, and full stack development teams. 6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role.
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As part of Capital Ones move towards a well-managed network security strategy, we are replacing the legacy f5 BIG-IP VPN to a new and flexible Palo Altos remote access cloud based solution - GlobalProtect/Prisma Access for the hybrid workforce.
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6+ years of professional development experience as Machine Learning Engineer, Data Scientist or related role 6+ years of programming experience with modern languages such as Python, R, C#, Java, or Scala.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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3+ years of hands-on experience in AWS and Big Data technologies such as S3, Lambda, LakeFormation, DMS, Kinesis, Kafka, Redshift, RDS, Aurora, Neptune, DynamoDB, ECS, Glue, DataBrew, Python, R-Studio, SageMaker, Spark/SparkSQL, Eventbridge, as well as programming in Python, Java, Spark, SQL, Unix shell/Perl scripting, etc.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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Big data concepts and technologies, such as: Apache Hadoop, Apache Hive, Solr, Cloudera, MapReduce, R, Spark, Kafka, NiFi, and the ELK (ElasticSearch, Logstash, Kibana) stackDevOps concepts and tools, such as: GitHub, JIRA, Maven, Jenkins, Chef, Ansible, Docker, ELK stack, Nexus, NagiosDatabase platforms, such as: Oracle, MySQL, NoSQL, Mongo DB, HDFSProgramming languages, and related web technologies, such as: Java, Javascript, Python, C#, C.
$69,287 - $172,075 a yearExpandApply NowActive JobUpdated Today
big data jobs Title: developer Company: Everest National Insurance Company in Falls Church, VA
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