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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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YOUR SKILLS AND EXPERTISEBachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.STANDOUT QUALIFICATIONS:Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query)Experience partnering with Analytics and Data Science teams in building out production grade GenAI/ML solutions.
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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A thought leader and evangelist to drive knowledge and application of machine learning and data science at all levels of T-Mobile. The Senior Manager, Data Science leads a team of data scientists focused on various data science initiatives across T-Mobile’s business.
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Experience working with data visualization tools to deliver results Mainly with Looker Position 2 Data Engineer Location Austin, TX Tampa, FL (Remote for Now) 3+ years' experience in technologies including Hadoop, Spark and Big Data platforms, RBDMS, NoSQL like Druid and Postgress Advanced SQL capabilities are required.
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NAVA Software solutions is looking for a Big Data Engineer. Big Data Engineer. Join a smart, highly skilled team with a passion for technology, where you will work on our state of the art Big Data Platforms.
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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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Experience with statistical programming or software (e.g., R, JMP) and NGS reagents a plus. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Java, Scala, Python, Spark, Cassandra, Solr, Hadoop, big data, ETL, SQL, REST, API, data science, machine learning, Pig, HiveQL, Kafka, YARN, spatial data, GIS. (e.g. Tensorflow and scikit-learn) is a plus.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) Experience building complex near real time (NRT) streaming data pipelines using Apache Kafka, Spark streaming, Kafka Connect with a strong focus on stability, scalability and SLA adherence.
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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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The CII staff members are specialized in big data and information technology, civil and environmental engineering, computer science and engineering, and mechatronics and mechanical engineering.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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If you are a highly motivated and skilled Senior Data Engineer with a passion for big data, data engineering, and REST API development, we would love to hear from you.
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big data science a plus engineer jobs Company: Bedgear
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