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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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Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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At least 8 years of experience evolving Big Data ecosystems with hands on experience as a data engineer or DBA. Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management.
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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Remote Data Scientist. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
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Artificial Intelligence (AI), Big Data, Cloud Computing, Computer Coding, Critical Thinking, Machine Learning, Microsoft Power BI, Model Building, Problem Solving, Python (Programming Language), Statistical Analysis.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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Engage with a range of Big Data technologies, including but not limited to Spark, Presto, Hadoop/HDFS, Hive, and more. If you have a passion for Big Data technologies, love problem-solving, and want to be a part of a dynamic, forward-thinking company, this role is for you.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies, including Apache Spark and Databricks Delta Lake. Databricks Certified Developer or Databricks Certified Data Engineer certification.
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Specialized training in Data Engineering, Data Science, Machine Learning, Big Data Platforms (Spark, Kafka, Hadoop, H2O, etc.) LICENSING/CERTIFICATION Any certification specializing in data engineering, big data, data science, machine learning, artificial intelligence, or statistical analysis from accredited institutions of higher learning.
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Software engineering in Big Data experience. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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Experience solving Big Data batch and real-time data processing problems, with large-scale analytics and data processing engines such as Apache Spark and Databricks. Knowledge of Python data science tools, such as SciKit, Numpy, TensorFlow, Jupyter.
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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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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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Minimum of 10 years of experience in backend software development, with a strong focus on data engineering and big data technologies. Stay up-to-date with the latest trends, technologies, and industry best practices in the big data and data engineering domains.
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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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big data jobs Title: big data software engineer Company: Bayer
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