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  • Published on

    MPower Plus is looking for a Data Engineer responsible for designing and implementing data solutions. Candidates should have a bachelor's or master's degree in computer science, Information Technology, Data Engineering, or related fields, and be proficient in programming languages such as Python, Java, or Scala. The ideal candidate will have strong knowledge of SQL, relational and NoSQL databases, along with experience in ETL frameworks and cloud platforms.

  • Published on

    Net Talent is looking for a Machine Learning Engineer who will be responsible for designing, developing, and deploying machine learning models to solve complex problems and improve our products. The ideal candidate will develop and implement machine learning algorithms and models, analyze large datasets, collaborate with cross-functional teams, optimize existing models, and stay updated with the latest trends in the field.

  • Published on

    Infosys is looking for a Data Engineer - Databricks/Apache Spark to design, develop, and maintain scalable data pipelines on Databricks using PySpark, collaborate with data analysts and scientists to understand data requirements, and optimize existing data pipelines. Candidates should have 3+ years of experience in data engineering, strong SQL skills, and proficiency with Databricks and Apache Spark.

  • Published on

    Visa is looking for a Data Scientist to join our data science team in Poland. This individual contributor role includes developing and implementing machine learning models, collaborating with business stakeholders to understand their data-driven needs, and ensuring data quality throughout all stages of data acquisition, processing, and visualization. The ideal candidate should have knowledge in data science tools, machine learning techniques, and strong communication skills.

  • Published on

    Visa is looking for a VAS Data Engineer to be part of an innovative Business Intelligence and Sales Tools Team. The candidate will be responsible for designing, building, and maintaining the infrastructure that supports data collection, storage, and processing. Key responsibilities include building and maintaining clean data sets, automating data workflow, and managing data quality. Required skills include experience with big data technologies and the ability to effectively communicate complex ideas.

  • Published on

    Avanade is looking for a Sr. Artificial Intelligence Engineer to join our Data Science team. You will have the opportunity to help clients harness the true value of data science by delivering bespoke solutions, working closely with our project teams and using data-driven analytical techniques. You should possess consulting experience, advanced statistics software knowledge (SAS, R), and be familiar with programming languages such as C#, Python, and Java.

  • Published on

    Boosted is looking for a Senior Data Engineer to design, build, and maintain data systems. This role involves creating scalable data pipelines, architecting cloud data solutions, and collaborating with various stakeholders. The ideal candidate will have experience in data engineering and knowledge of big data technologies.

  • Published on

    Mastercard is looking for a Senior Software Engineer (Full-Stack) to join their talented team. You will be aiding Financial Institutions in their fight against money laundering and fraud by crafting bespoke services. The ideal candidate will develop applications using Java/J2EE technologies and maintain the application across its lifecycle.

  • Published on

    Boosted is looking for a Senior Data Engineer to join our highly skilled team. The successful candidate will design, build, and maintain scalable data pipelines and cloud infrastructure while mentoring junior engineers. Ideal candidates will have a solid background in data engineering principles and a strong proficiency in programming and cloud technologies.

  • Published on

    Visa is looking for a Site Reliability Engineering - Sr. Consultant to provide support for Technical Hadoop related issues impacting VCA data scientists users on a daily basis. This role involves leveraging deep understanding of Hadoop and its tools, troubleshooting complex technical issues, recommending system configuration changes, and engaging with clients across multiple time zones. The ideal candidate will have over 8 years of relevant work experience and will have hands-on experience working as a Hadoop system engineer, among other qualifications.