Data Engineer Salary at Octopus Digital Llc BETA

Job Description Job Description Summary: The Quality Engineer will implement and maintain quality control and quality assurance methods to improve company products and processes. Responsibilities: • Actively support Adjuvo Technologies Quality Management System, including the Quality Policy • Develop and implement methods and procedures for inspection, testing, and evaluation of components, subassemblies and final products • Support inspection, engineering, and manufacturing personnel to ensure quality of products • Work with suppliers to ensure quality products and services • Proactively champion quality assurance issues • Perform trend analysis using valid statistical methods to identify opportunities for improvement • Perform root cause analysis and investigation to solve problems and continuously improve products and processes • Perform other related duties as assigned. Qualifications: • Bachelor’s degree in engineering or other related industrial, scientific, or business field • 2

Hello Connections! Recruiting for below role. Please send me an email at nisha@paudhatek.com for detailed JD. Data Modeler/Data Engineer Lake Mary, FL Contract to Hire – 6+ Months Pay Rate - $40-50/hr (The Rate may be negotiable based on experience, Education, Geographic Location, and other factors) Skills and Qualifications: Technical Skills: Data Modeling: Proven experience in designing relational, dimensional, and NoSQL data models. Familiarity with industry-standard modeling tools (e.g., ER/Studio, PowerDesigner, IBM InfoSphere). Database Technologies: Strong expertise in SQL (e.g., MySQL, PostgreSQL, MS SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra, HBase). Experience with data warehousing solutions (e.g., Snowflake). Data Engineering: Experience with data pipeline frameworks such as Apache Kafka, Apache Spark, Airflow, or similar technologies for batch and real-time data processing. ETL/ELT: Strong experience with ETL tools or custom ETL scripting (Python, Shell, SQL)

A Snowflake Data Engineer with healthcare experience is responsible for designing, implementing, and optimizing data models within healthcare data environments. Key duties include building data pipelines, enhancing data quality, and ensuring scalable data management solutions. The role involves close collaboration with business and technology teams, managing data warehouses, and troubleshooting complex data issues. Required Skills: Expertise in Snowflake Data Platform and Python Proficiency with cloud services like Azure or AWS Experience in data lake architecture and data integration tools Strong knowledge of data modeling tools like Erwin Familiarity with Agile methodologies and DevOps practices

Hi, Hope you are doing great. Please go through the job description given below and if you are interested do share an updated word copy of your resume and best time to reach you over the phone. Position: Airflow-Snowflake Data Engineer Locations: Orlando, FL 32801 Duration: Contract Job Description: Senior data engineer with over 5 years' experience performing ETL work using stored procedures. Candidate must have 6 or more years of experience working on services S3, Lambda, Airflow (MWAA), Secrets Manager, Cloud Watch Exp. on other services such as AWS, IAM, Cloud Formation, CICD etc. is preferable. Snowflake or SQL expertise - 3 or more years of experience working on Data Ingestion/Transformation/Loading. Strong understanding of relational database concepts & technology - data modeling (dimensional/snowflake), SQL, query optimization, data warehouse architecture. 2 or more years of Hands-on experience on coding languages Python, Unix Responsible for monitoring the data loads for multi

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center. Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ... Work you'll do/Responsibilities + Understand data management techniques and the various implementation styles that are implemented industry wide. + Perform data management activities especially focusing on customer, suppler, product, reference data and other data domains that consists of master data. + Experience on an industry accredited tool that has been used on a medium to large scale master data implementation. + Develop quantitative models that used fuzzy

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. It's an exciting time to join Brown & Brown! Our business is growing both in North America and internationally which emphasizes the need to build an unparalleled team that promotes future growth. We're excited to continue solidifying that foundation as we are looking for a Director of Enterprise Data Architecture to join our growing team in Daytona Beach, Florida or Dallas, Texas! The Director, Enterprise Data Architecture will lead the creation and operation of the Enterprise Data Architecture Program for Brown & Brown. This director will be responsible for defining and evolving the overall strategy, architecture and roadmap for the enterprise Modern Data Platform. This experienced individual will lead a matrixed team in the definition of associated policies, standards, procedures and patterns for data solutions across Brown & Brown. Who We Are: B

Role: Big-Data Engineer Location: Orlando FL (Initial Remote) Duration: Long Term Contract Responsibilities Build components of large-scale data platform for real-time and batch processing, and own features of big data applications to fit evolving business needs Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability Contribute to the best engineering practices, including the use of design patterns, CI/CD, code review and automated test Chip in ground-breaking innovation and apply the state-of-the-art technologies As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing. Collaborate with program managers, product managers, SDET, and researchers in an open and innovative environment WHAT TO BRING Bachelor or above in computer science or EE 4+ years of professional programming in Java, Scala, Python, and etc.

•Design, develop, and deploy generative AI models and solutions for data and analytics applications. •Fine-tune AI models to improve performance and accuracy based on specific business requirements. •Collaborate with data scientists and analysts to understand business requirements and translate them into technical specifications. •Implement and optimize AI models using Azure Machine Learning and other Azure cloud services. •Develop and maintain ETL processes to ensure efficient data ingestion, transformation, and integration. •Analyze large datasets to extract meaningful insights and support data-driven decision-making. •Ensure the scalability, performance, and reliability of AI models and solutions. •Stay updated with the latest advancements in generative AI and integrate relevant technologies and methodologies. •Create and maintain comprehensive documentation for AI models, processes, and solutions. •Work closely with cross-functional teams to drive AI initiatives and projects. •Impl