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As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics.
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We are looking for a passionate, hands-on Data Governance professional to join our team. Provide guidance and support to teams on data governance best practices. Collaborate with cross-functional partners in product, engineering, Business units, marketing, finance and legal to define and build data definitions and data stewardship.
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High familiarity with data platform and applications such as S3, Tableau, Databricks, Redshift and Airflow. Experience with data governance tools such as Alation, Collibra, Databricks Unity catalog, Informatica etc.
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As a Data Engineering Principal for a leading digital agency, you will be a hands on, senior data technologist. This should be backed with strong cloud-native data engineering skills e.g. AWS RDS, Aurora, Redshift, Kinesis, Glue or Azure CosmosDB, DataFactory, DataWarehouse, SQL DB etc.
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8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Ensure effective communications in scientific stakeholder engagement and project management on data analytical project collaborations. Job Description - Director-Software Engineering (24003061.
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The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.
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As a member of our Low Carbon Solutions Data Science & Analytics team, you will work on problems in emerging technologies such as carbon capture and storage, hydrogen, sustainable lithium extraction, or advanced biofuels.
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Job Segment: Cloud, Maintenance, Engineer, Technician, Data Center, Technology, Manufacturing, Engineering. Engineering Technician will become a key support on enabling HPC server technology, support validation effort, and manage materials.
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Proven experience in data engineering roles with a strong track record in designing, implementing, and maintaining Data Warehouses, particularly on the Google Cloud Platform and BigQuery.
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Partner with Scrum Master, RTE, leadership to align data engineering staff across ARTs based on demand through a standard engagement and delivery support model. The Contact Center Manager Data Engineering will report to the Contact Center Platforms Application Development Manager and have aligned data and software engineer direct reports.
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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. 10+ years experience in engineering data pipelines using data technologies (Python, pySpark, Airflow) on large scale data sets.
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This role is responsible for designing, building, and maintaining data engineering architecture on the AWS cloud platform, with a strong focus on tools like Airflow and related cloud services through AWS. The ideal candidate will have a deep understanding of metadata-driven design approaches, strong software development skills using abstract class methodologies, and a passion for crafting scalable and efficient data pipelines.
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Bachelors or Masters degree in Computer Science, Data Engineering, Data Science, Engineering, or a related field with a focus on data engineering, database management, or information systems.
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Proven experience as a Solution Architect with a focus on data warehouse and platform engineering. Hands-on experience with leading data warehousing and analytics technologies (e.g., Databricks, Snowflake, AWS Redshift, Google BigQuery.
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