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Hands-on experience with big data technologies (such as Hadoop, Spark, Kafka) Relevant certifications (e.g., Azure, Databricks, Snowflake) would be a plus. 10+ years of experience in a data engineering role, with expertise in designing and building data pipelines, ETL processes, and data warehouses.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge of Qlik/ Qlik Sense, QVD/ QlikView, and Qlik Production Application Standards (QPAS) is a huge plus. - High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
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Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production Application Standards (QPAS) is a significant plus. BigBear.ai is seeking a Data Engineer to support a program in Crystal City, VA (Hybrid 2-3 days in office.
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Hands-on experience with streaming and batch processing frameworks such as Apache Kafka, Apache Flink, Apache Spark, or similar technologies. Experience with cloud platforms (, AWS, Azure, Google Cloud) and containerization technologies (, Docker, Kubernetes) is a plus.
$124,000 - $234,200 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks. In addition, you will play a key role, often as an engagement lead, on client engagements related to data warehousing, ETL development, data integrations, and data modeling.
$125,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 4 months ago - UpvoteDownvoteShare Job
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Is seeking a Data Engineer to support a program in Crystal City, VA (Hybrid 2-3 days in office). As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems.
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Proven experience as a Data Engineer with a focus on designing and implementing data pipelines. Relevant certifications in data engineering, cloud platforms, or related fields are a plus.
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Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions. Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools.
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Hands-on experience with Database CDC ingestion and streaming ingestion applications like Striim, Nifi is a plus. Cloud Data Engineer with min 5 years' experience in designing , building, and optimizing data pipelines.
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Experience building data pipelines/ETL (or ELT) and familiarity with design principles (Apache Airflow is a big plus) Experience with Dune Analytics, Nansen, Elliptic, Chainalysis or other blockchain data providers is a big plus.
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Expert-level professional hands-on experience in extensible data pipeline development and orchestration with tools like Apache Airflow, Step Functions, etc. Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts – a key requirement for successful collaboration with data architects and visualization developers.
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You are skilled in a broad set of ETL/Big Data processing techniques and will lead the architecture, design and implementation of scalable, extensible, and highly available data ETL pipelines on large volume data sets, which will enable actionable insights and ML workloads across Pfizer’s Commercial business.
$149,200 - $248,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus.
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Minimum of 8 years of experience with a Bachelor’s degree; or 6 years and a Master’s degree; or 3 years of hands-on relevant experience using data science techniques, including statistical analysis, mathematical optimization, machine learning, deep learning, or reinforcement learning with a PhD.
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Hands-on experience in pipeline orchestration tools, like Apache Airflow. Previous work with cloud-based BI tools (such as Looker, and Quicksight) is a plus. Strong hands-on experience with programming in Python.
$120,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
hands on a plus jobs Title: data engineer in Parkville, Maryland
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