Job details
Job title : Analyst - Data Engineer jobs in Lagos Job Location : Lagos Deadline : April 05, 2024 Quick Recommended Links Mission:
- Build high-quality data pipelines that drive analytic solutions.
- Connect and model complex distributed data sets to build repositories, such as data warehouses and data lakes, using appropriate technologies.
- Manage data-related contexts ranging across addressing small to large data sets, structured, unstructured, or streaming data, extraction, transformation, curation, modeling, building data pipelines, identifying the right tools, writing SQL, Java, or Scala code, etc.
- Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction transformation and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Keep data secure.
- Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team.
- Work with data and analytics experts to strive for greater functionality data systems.
- Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes.
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- First degree in Mathematics, Statistics, MIS, Computer Science, Engineering, or other related disciplines.
- Fluent in English
- Deep knowledge in data architecture, defining data retention policies, monitoring performance and advising any necessary infrastructure changes.
- Expertise in SQL and data analysis experience with at least one programming language.
- Experience developing and maintaining data warehouses in big data solutions.
- Experience with developing solutions using cloud computing services and infrastructure in the data and analytics space (preferred)
- Database development experience using Hadoop or Big Query and experience with a variety of relational, NoSQL, and cloud database technologies.
- Worked with BI tools such as Tableau, Power BI, Looker, Shiny
- Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
- Comfortable in dashboard development (Tableau, PowerBI, Qlik, etc.) and in developing data analytics models (R, Python, Spark)
- Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (Preferred)
- Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
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This accredited course will give you a competitive advantage in your career, making you stand out from all other applicants and employees.<br /> <br /> As one of the leading course providers and most renowned e-learning specialists online, we’re dedicated to giving you the best educational experience possible. This course is crafted by industry experts, to enable you to learn quickly and efficiently, and at your own pace and convenience.<br /> <br /> <strong>How Will I Benefit?</strong> <ul> <li>Boost your career in learning to learn</li> <li>Deepen your knowledge and skills in your chosen field just in hours not years!</li> <li>Study a course that has been designed by industry professionals.</li> <li>Save money and time by studying your convenient time</li> <li>Have access to a tutor whenever you are in need</li> </ul> So, what are you thinking about! Start getting the benefits by enrolling today!<br /> <br /> <strong>Why Choose Lead Academy:</strong> <ul> <li>Lifetime Access</li> <li>High-quality e-learning study materials </li> <li>The UK and globally recognized qualification</li> <li>Self-paced, no fixed schedules</li> <li>24/7 customer support through email</li> <li>Available to students anywhere in the world</li> <li>No hidden fee</li> <li>Study in a user-friendly, advanced online learning platform</li> </ul> <strong>Who is this course for?</strong><br /> <br /> This comprehensive Learning to Learn course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of learning to learn.<br /> <br /> <strong>Certification</strong><br /> <br /> On successful completion of the Learning to Learn course, you will be eligible to obtain a verifiable certificate as proof of your new qualification. This means that you/your employer can verify your qualification through our website. Certificate can be obtained in PDF version at a cost of £10, and there is an additional fee to obtain a printed copy certificate which is £29.<br /> <br /> <strong>Career path</strong><br /> <br /> This Learning to Learn course opens a brand new door for you to enter the relevant job market and also provides you with the chance to accumulate in-depth knowledge at the side of needed skills to become flourishing in no time. 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Certification in Deep learning with Pytorch framework benefits Data Science professionals, students and professionals.<br /> <br /> <strong>Benefits of Certification</strong> <ul> <li><strong>Government certification</strong></li> <li>Certification valid for life</li> <li>Lifelong e-learning access</li> <li>Learning Hours: 12+ hrs</li> </ul> <br /> <strong>How It Works</strong> <ol> <li>Select Certification & Register</li> <li>Receive Online e-Learning Access (LMS)</li> <li>Take exam online anywhere, anytime</li> <li>Get certified & Increase Employability</li> </ol> <strong>Test Details</strong> <ul> <li>Duration: 60 minutes</li> <li>No. of questions: 50</li> <li>Maximum marks: 50, Passing marks: 25 (50%).</li> <li>There is NO negative marking in this module.</li> <li>Online exam.</li> </ul> <br /> <br /> <strong>TABLE OF CONTENT</strong><br /> <br /> <strong>Module 1</strong><br /> <br /> <strong>GETTING STARTED WITH PYTORCH</strong> <ul> <li>The Course Overview</li> <li>Introduction 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Like Python, PyTorch has a clean and simple API, which makes building neural networks faster and ;<br /> <br /> <strong>Note:</strong> Hard copy material is not applicable for this course.<br /> <br /> <strong>Why should one take this certification?</strong><br /> In this course, you will learn how to accomplish useful tasks using Convolutional Neural Networks to process spatial data such as images and using Recurrent Neural Networks to process sequential data such as texts.<br /> <br /> By the end of this course, you will be able to use <strong>PyTorch</strong> proficiently in your real-world projects.<br /> <br /> <strong>Who will benefit from taking this certification?</strong><br /> Job seekers looking for employment in IT companies, IT departments of PSUs or MNCs, will find the certification of great help. Certification in Deep learning with Pytorch framework benefits Data Science professionals, students and professionals.<br /> <br /> <strong>Benefits of Certification</strong> <ul> <li><strong>Government certification</strong></li> <li>Certification valid for life</li> <li>Lifelong e-learning access</li> <li>Learning Hours: 12+ hrs</li> </ul> <br /> <strong>How It Works</strong> <ol> <li>Select Certification & Register</li> <li>Receive Online e-Learning Access (LMS)</li> <li>Take exam online anywhere, anytime</li> <li>Get certified & Increase Employability</li> </ol> <strong>Test Details</strong> <ul> <li>Duration: 60 minutes</li> <li>No. of questions: 50</li> <li>Maximum marks: 50, Passing marks: 25 (50%).</li> <li>There is NO negative marking in this module.</li> <li>Online exam.</li> </ul> <br /> <br /> <strong>TABLE OF CONTENT</strong><br /> <br /> <strong>Module 1</strong><br /> <br /> <strong>GETTING STARTED WITH PYTORCH</strong> <ul> <li>The Course Overview</li> <li>Introduction to PyTorch</li> <li>Installing PyTorch on Linux and Windows</li> <li>Installing CUDA</li> <li>Introduction to Tensors and Variables</li> <li>Working with PyTorch and NumPy</li> <li>Working with PyTorch and GPU</li> <li>Handling Datasets in PyTorch</li> <li>Deep Learning Using PyTorch</li> </ul> <strong>TRAINING YOUR FIRST NEURAL NETWORK</strong> <ul> <li>Building a Simple Neural Network</li> <li>Loss Functions in PyTorch</li> <li>Optimizers in PyTorch</li> <li>Training the Neural Network</li> <li>Saving and Loading a Trained Neural Network</li> <li>Training the Neural Network on a GPU</li> </ul> <strong>COMPUTER VISION – CNN FOR DIGITS RECOGNITION</strong> <ul> <li>Computer Vision Motivation</li> <li>Convolutional Neural Networks</li> <li>The Convolution Operation</li> <li>Concepts - Strides, Padding, and Pooling</li> <li>Loading and Using MNIST Dataset</li> <li>Building the Model</li> <li>Training and Testing</li> </ul> <strong>SEQUENCE MODELS – RNN FOR TEXT GENERATION</strong> <ul> 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'Hiring now! Analyst - Data Engineer at MTN Nigeria. Please apply or share https://jobs.laimoon.com/jobs/externalview/41981265' $emailText = 'Hiring now! Analyst - Data Engineer at MTN Nigeria. 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Hiring company
MTN Nigeria
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