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Our Lead Big Data Engineering, earn between $128,700 - $215,800. Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark.
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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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The client Corporation is currently seeking an experienced Big Data Engineer Thesuccessful candidate must have Big Data engineering experience and must demonstrate an affinity forworking with others to create successful solutions.
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Thinking like a Data Engineer to help discover, design & build Data Engineering initiatives. 7+ years of progressive experience in solution development building of data Engineering products.
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Experience leading and managing multiple teams preferably in the data engineering space. 7+ years of experience in a business-facing data engineering role and proven track record of related success.
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Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.
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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, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies.
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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 using Big Data or Cloud integration technologies such as Databricks, Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc. Sr Data Engineering Consultant.
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Experience in building big data ETL data pipelines and Streaming applications using Spark (PySpark), Kafka and other big data frameworks. Responsible for availability, scalability, reliability, and performance of the big data system.
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Collaborate and closely align with solution architects, senior data engineers, data analysts, and cloud engineering teams. Expertise and hands-on experience developing and deploying SQL, Python, and Spark-based data pipelines into production environments.
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4+ years of Experience with Big Data Architecture, Business Intelligence, Data Engineering, Data Warehousing (Kimball/Inman/RDBMS), Wide Tables, Data Modeling, Report/Dashboard Building.
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Currently pursuing a Bachelors degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employmentOR.
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Experience working with Big Data technologies (Cloudera Hadoop, Snowflake, etc.) Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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