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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.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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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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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience Big Data tools including with Hive, Spark SQL, Databricks, Delta Lake. Experience with Azure Data Lake store, Blob Storage, VMs, Data Factory, SQL Data Warehouse, Azure Databricks, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, etc.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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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.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Lead and mentor a team of technical professionals in the design, development, and implementation of big data solutions and data analytics projects within the financial services domain.
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RBA is looking for a Lead Data Engineer to join our growing team. Lead Data Engineer. Lead the design, development, and implementation of scalable and robust data architectures and pipelines.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Relevant certifications (e.g., Snowflake, Databricks, Certified Analytics Professional, AWS Certified Big Data - Specialty) are a plus. o Lead discovery sessions with BSFI clients to understand their unique data landscape, regulatory requirements, and business objectives.
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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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Experience working with big data technologies e.g., Snowflake, Redshift, Synapse, Postgres, Airflow, Kafka, Spark, Maintaining familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience in data processing roles such as database developer/administrator, ETL/Big Data developer, data analyst and/or BI analytics developer Experience with cloud platforms, big data platforms and one or more general purpose programming languages, including but not limited to: Python, SQL, Spark, Amazon Web Services Experience with DevOps principals and version control (Git preferred) End-to-end experience with data, including querying, aggregation, analysis, and visualization.
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You likely have experience with a variety of architectures, patterns, and methodologies focused on Analytics Strategy, Data Governance & Master Data Management, Data Architecture(s), Distributed Systems, ETL, Big Data, IoT, Data Visualization and Analytics.
Full-timeExpandApply NowActive JobUpdated 22 days ago
big data jobs Title: technology lead Company: Tiger Analytics
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