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Goldenrule
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These jobs were popular with other job seekers Purpose of the Position To collect and validate business information (which can then be used by data scientists and business stakeholders). To design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets. To design and develop ETL proc
Job Source: GoldenruleEnlabeler
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The fast growing Enlabeler team is looking for a Data Engineer who can drive and fast track the development of our engineering platforms. Enlabeler is a leading data processing company with multiple international and South African based clients. What we’re looking for : We are a growing team of driven entrepreneurs on a mission to build something g
Job Source: EnlabelerNomadgao
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Mar 06, 2024 - Jobs for Humanity is hiring a remote Senior Data Engineer. Location: South Africa. Company Description Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind
Job Source: NomadgaoGoldenrule
,
These jobs were popular with other job seekers Purpose of the Position To collect and validate business information (which can then be used by data scientists and business stakeholders). To design and implement data models and architectures that enable business stakeholders to gain insights from large-scale datasets. To design and develop ETL proc
Job Source: GoldenruleRoyal Haskoningdhv
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The global digital revolution is bringing prosperity to more and more countries and regions, benefiting millions of people. Data Centres make this 21st century transformation possible and reliable systems and continuity are crucial. From the pioneering stage, we have been involved in the emergence and development of Data Centres and other important
Job Source: Royal HaskoningdhvOfferzen
, KwaZulu-Natal
Data Engineer Are you a talented data engineer looking for your Dream Developer Job? Offer Zen, the developer jobs marketplace, reverses the job search process. We connect developers with a vast network of top tech companies in Africa and Europe that... Requirements: 3+ years of relevant experience Hands-on, practical experience dealing with lar
Job Source: OfferzenTaiwa
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We are seeking a highly capable Data Engineer to join our team. The successful candidate will be responsible for the development, construction, maintenance, and testing of architectures, such as databases and large-scale processing systems. The primary responsibility will be to prepare data and provide it to customised Large Language Models (LLMs)
Job Source: TaiwaStitch.money
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The Role Reporting to the Director of Engineering, the Data Engineer will focus on architecting and enhancing Stitch’s data infrastructure, prioritizing scalability, stability, and efficiency. This role requires a deep understanding of data system architecture to innovate and improve existing frameworks, ensuring they meet evolving business demands
Job Source: Stitch.money,
R 300000 ZA Per annum
Do you have excellent experience building data pipelines?Do you enjoy collaborating cross-functionally to deliver on common goals?Join us in shaping a more just world. About Us Lexis Nexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities. About the Role At Lexis Nexis we develop the legal profession’s most innovative products for data analysis, visualization, and research. We use the latest techniques in AI, machine learning, and data visualization to uncover insights about judges’ rulings, build forecasts of likely outcomes, and reveal critical connections in massive datasets spanning the law, news, and finance. Responsibilities As a senior machine learning operations engineer on our team, you will work on new product development in a small team environment writing production code in both run-time and build-time environments. You will help propose and build data-driven solutions for high-value customer problems by discovering, extracting, and modeling knowledge from large-scale natural language datasets. You will prototype new ideas, collaborating with other data scientists as well as product designers, data engineers, front-end developers, and a team of expert legal data annotators. You will get the experience of working in a start-up culture with the large datasets and many other resources of an established company. You will also: Develop and implement a strategy for continuous improvement of our Machine Learning Ops including versioning, testing, automation, reproducibility, deployment, monitoring, and data privacy Develop and report on ML Ops metrics such as deployment frequency, lead time for changes, mean time to restore, and change failure rate Collaborate with data scientists, data engineers, API engineers, and the dev ops team Build scalable data ingestion and machine learning inference pipelines Scale up production systems to handle increased demand from new products, features, and users Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc) and optimize cloud costs Automate and handle the life-cycle of the systems and platforms that process our data Requirements Masters degree in Software Engineering, Data Engineering, Computer Science or related field5 years of relevant work experience Strong Scala and Python background Experience with Apache Spark and/or Ray Knowledge of AWS, GCP, Azure, or other cloud platform Knowledge of current principles and frameworks for ML Ops Experience with ML Ops technologies such as ML Flow, DVC, Grafana, Data Hub, Databricks Experience with machine learning technologies such as Py Torch, Tensor Flow, AWS Sagemaker Experience with CI/CD pipelines, including Jenkins or Git Actions Experience with Docker containerization or Kubernetes orchestration Experience in improving data security and privacy, and managing and reducing cloud costs Knowledge of API development and machine learning deployment Work in a way that works for you We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees Working with Us Lexis Nexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. About our Team Lexis Nexis is a data and analytics company with 10,500 colleagues serving customers in more than 150 countries. We’re one of the largest information and analytics companies on the planet. We design solutions that help our customers increase productivity, improve decision-making and outcomes, and be more successful. Lexis Nexis, a division of RELX Group, is an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/e Vg Fxj Lm AK , or please contact 1-855-833-5120.
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Senior data engineer i jobs in ,
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