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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Develop data, analytic, and data science models using Python, PySpark, Large Language Models (LLM) algorithms, and working with other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
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2+ years experience on Big data pipelines/DAG tools like Airflow, dbt is required. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
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Net, C#, Android SDK, Kotlin, IOS Swift, AWS: EMR, S3, Redshift, Athena, Glue, DynamoDB, Lamda, CloudWatch, ElastiCache, Kinesis, SNS, SQS, Azure: HDInsight, Data Factory, Data Lake Analytics, Databricks, GCP, and Big Data Apache: Hadoop, Hive, Hue, Sqoop, Kafka, Spark, Airflow, SnowFlake, Python, Scala, Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Apache Mahout, Vertex AI, Keras, OpenNN, Theano.
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Experience with big data tools and technical architecture. San Diego Community Power (SDCP) is seeking a seasoned Data Scientist to join our growing team of data transformation experts who will be responsible for collecting, organizing, and mining data to build AI and data science initiatives to deliver clean energy solutions that help our local and global communities.
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Experience with Cloud data such as AWS or Azure big data offerings. Experience building and optimizing 'big data' data pipelines, architectures, and data sets.
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Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using ‘big data’ technologies and tools. Experience with modern data architectures and modern data platforms like Snowflake, Databricks etc.
$113,668 - $203,468 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data technologies: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, Talend etc. Collaborates in implementing components of data strategy – Master Data Management (MDM), data virtualization etc.
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Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive.
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Hands-on experience with big data application development and/or with cloud data warehousing (e.g. Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) Experience across any other of the top cloud data platform vendors, including Google, Microsoft Azure, and Snowflake is a plus.
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Data Science Associate (EMCDS)/Cloudera Certified Data Scientist (CCDH)/Certified Apache Hadoop Developer (HCAHD) (Hortonworks)/Certified Information System Security Professional (CISSP)/Certified Cloud Professional (CCP.
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We are seeking a Principal Scientist to propel our data science, helping to build world-class platform capabilities in analytics and machine learning supporting biological discovery and drug development programs.
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2+ years working Extensive experience in Big Data Engineering 1+ years working experience in Python-based data integration and pipeline development. Mentor and guide junior data engineers in the team Drive and implement automation to empower the organization to scale efficiently and with flexibility Keep up to date with new technologies and methodologies related to data engineering and apply them to improve the data platform Requirements: Bachelor or equivalent 1+ years working Experience in AWS Redshift, Databricks, BigQuery, Oracle, or Graph databases.
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This position is for an innovative senior data engineer who is a self-driven and results-oriented individual who is not afraid of big challenges but is also able to focus on excellent end user support, and successfully drive programs from start to finish.
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Develop and implement data pipelines using Databricks and dbt to collect, process, and transform data from various sources. Design and implement data models using Databricks Delta Lake, ensuring data integrity, consistency, and scalability.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
big data jobs Title: data administrator Company: Indeed in San Diego, CA
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