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You will be at the forefront of processing ETL on new and varied data sets and working with Big Data at scale, using Spark/PySpark to handle petabytes of data. Team Collaboration: Work in a multi-faceted software development team to build and maintain software applications backed by a self-managed cloud infrastructure with a true big-data footprint (over 10 petabytes.
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Specific experience in writing Big Data engineering for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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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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Serves as a point of contact for auditors (both internal and external) and helps with data extraction and related audits for benefits and compensation. Resolves errors associated with data transmission files and communicates with vendors about problem resolution.
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Plant monitoring and care during vegetative and flowering phase: trimming and staking; big leafing and pruning; plant care, watering and feeding; plant monitoring and climate control; pest and disease control; inventory data input.
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Why Choose Us: · Health (Medical, Dental, Vision) and 401K Benefits for full-time employees · Competitive Paid Time Off / Extended Illness Bank package for full-time employees · Employee Assistance Program – mental, physical, and financial wellness assistance · Tuition Reimbursement/Assistance for qualified applicants · Discounts with local vendors · Opportunities for education and training through partnership with Duke LifePoint Healthcare · And much more.
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Experience with big data technologies such as Apache Hadoop, Spark, Kafka, and others. The ideal candidate will have a robust background in big data analytics, data engineering, and cloud computing, with a particular focus on building and optimizing data lakes on AWS. This role is crucial for designing, implementing, and managing advanced data solutions using AWS and Data Lakehouse platforms.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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3+ years of experience in software engineering with a focus on marketing technology platforms such as Adobe AEP or similar. Stay abreast of emerging technologies and trends in martech, API development, cloud computing, and data engineering to drive innovation and improve martech capabilities.
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Primary responsibilities for strategy, engineering, design, and innovation of the EMPS and BMS systems within QTS data centers and assisting with any construction/upgrade efforts therein.
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Utilize Python and other relevant programming languages to build robust APIs, microservices, and integrations for seamless data exchange and automation. Apply data engineering principles to design and optimize data pipelines for ingesting, processing, and analyzing marketing data.
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Implement data governance, quality checks, and monitoring to ensure the integrity and reliability of marketing data. Proficiency in building and deploying custom solutions on AWS, with experience in cloud services, infrastructure as code, and serverless computing.
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Work with business users, data product owners, platform owners, enterprise architects, data management owners, and data engineering teams to ensure the data supply chain and the enterprise data products are built with high performance, high availability, and maintainability standards using current and emerging big data technologies.
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Job Req ID: 24998 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Known for excellent private and public school systems community college, local wineries & breweries, low cost of living, nearby zoos, big box retail, movie theater, bowling alley, event center, nearby resorts & casinos, health spas, YMCA, fishing, cross country skiing, kayaking, hiking, fishing, & biking.
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big data with benefits jobs Company: American Express in WA, Massachusetts
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