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Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP). Analytical Thinking, Communication, Data Compilation, Design, Manufacturing Analytics, Microsoft Office, Process Control, Process Engineering, Production Processes, Quality Engineering, Risk Assessments, Software Development, Supply Chain Processes.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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This role demands someone who not only possesses a profound understanding of the data engineering landscape but also has a very strong software engineering background specially building microservices frameworks and architectures.
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We are seeking a dynamic and highly skilled Senior Data Engineer who has extensive experience building self -service enterprise scale data platforms with microservices architecture and lead these foundational efforts.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
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As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Experience with Big Data technologies such as Hadoop/Hive/Spark.
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The Role: Sensus, a Xylem brand, seeks to hire a Senior Java Engineer with a desire to join their Analytics team delivering Big Data applications in the Cloud. We’re looking for people who have a passion for writing great code, developing servers, and working with big data.
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5+ years experience with data handling/quality or ETL tools i.e. SAS, SQL, DataStage/InfoSphere, DataLever/RedPoint DM, Spotfire, Tableau or other industry-standard tools, with a good understanding of database methodologies and technologies.
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Reporting directly to the Chief Information/Technology Officer, the CDO oversees data management practices, ensures data quality and integrity, and leverages data assets to drive innovation, efficiency, and competitiveness.
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Sound understanding of data governance principles, encompassing data literacy, data lifecycle management, data quality assurance, and data security best practices, reflecting a dedication to maintaining data integrity and confidentiality.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. Knowledge of predictive maintenance and quality control processes in manufacturing. Develop and implement advanced machine learning models and algorithms to predict machine failures, optimize production processes, and enhance product quality.
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Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.
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big data quality jobs in Atlanta, AZ, France
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