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Expert experience with Data Engineering tools such as Talend, SAP BODS, Kafka, Python, PySpark, Python APIs, Kubernetes, S3, Glue, Athena, EMR, etc. Participate in building data security and data governance guidelines.
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Client & backend server End to end architecture design for integrated OTT/FAST/SVOD services Data Engineering (including internal & external data) Ensure compliance & governance for systems & processes Strategic Technology Development Core Technology design including business analysis IP Acquisition Engineering Process development & trend analysis (policies, audits, etc.
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Experience in software engineering and data engineering roles, with a focus on Azure and Databricks. Strong understanding of databases and big data software technologies, specifically Azure and Databricks.
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As a Data Scientist, you will be part of the Data Engineering team supporting Battery Engineering. MS or Ph. D. in Computer Science, Software Engineer, Data Science, Machine Learning, Statistics, Operations Research or related field.
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Experience or knowledge of deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Responsible for developing, implementing and ongoing governance of Third-Party Risk Management (TPRM) organizations Program Governance and Quality Assurance functions. Experience of working with a diverse range of data sources/streams and managing these effectively.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Familiar with metadata management, data lineage, and principles of data governance.
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9+ years experience in Software Engineering or Data Engineering as an individual contributor. New York City (Hybrid On-Site): $274,800 - $313,600 for Director, Software Engineering.
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Understand various data storage solutions, including extract, load and transform technologies built using our Databricks Lakehouse architecture on Microsoft Azure, working with the Data Engineering team as needed.
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Combine software and data engineering practices to strengthen enterprise data governance. This role requires a collaborative mindset and the ability to work in a matrixed organization, combining data engineering with DevOps practices to enhance enterprise data governance and embrace a culture to support critical data transformation, analysis, and visualization initiatives.
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Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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High proficiency in AutoCAD, Civil 3D software, Leica LGO/Infinity, Leica robotic total stations, GPS, and data collectors. Bachelor’s Degree – Civil Engineering, Land Surveying or related field from an accredited program.
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4+ years of experience supporting Software Engineering, Data Engineering, or Data Analytics projects. Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more.
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It requires knowledge of general contract principles, and foundational understanding of applicable laws and regulations across relevant jurisdictions that impact these transactions including intellectual property, privacy / data protection, data governance, AI, cybersecurity, information governance and security, and other regulatory matters.
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Required education and experience BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or related field5 years' experience in big data analytics, data engineering, or related rolesExperience in designing, building, and maintaining data warehouses.
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software engineering data governance jobs Company: Robert Half in Hood-river, Oregon
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