Top Tech Jobs & Startup Jobs

As a Senior Database Developer, you will maintain database architecture, create code and scripts, and analyze data patterns while participating in an agile team to deliver high-quality products. Your responsibilities include maintaining database systems, creating stored procedures and advanced SQL code, and ensuring data accuracy.

The Senior Marketing Manager will drive marketing strategies targeted at Fortune 1000 companies in financial industries, collaborating with sales and product teams to foster revenue growth. Key responsibilities include understanding market trends, optimizing strategy, and building client relationships through industry-focused marketing campaigns.

As a Research Analyst, you'll support the Global C4 and Elastomers markets by maintaining models, developing research methodologies, and generating reports while providing client support. You'll analyze contract prices, conduct margin analysis, and forecast supply and demand in the petrochemical value chain.

The Research Editor will create and update profiles on entities owned by sanctioned subjects and state-owned entities by researching data from public sources. This role involves ensuring the accuracy of profiles, responding to client inquiries, monitoring anti-money laundering regulations, writing due diligence reports, and supporting workflow efficiencies.

The Data Privacy Specialist will assist in developing and managing data privacy processes to ensure compliance with regulations. Responsibilities include managing the Consent Management Platform, coordinating with teams for implementation, documenting compliance guidelines, and addressing privacy-related queries and incidents.

Lead a team of data scientists in developing and maintaining robust AI/ML pipelines, focusing on NLP and ML models integration. Translate business requirements into technical solutions and optimize ML model performance. Stay updated on ML, NLP, and IR technology advancements for continuous improvement.

Seeking an experienced Data Engineer to design, develop, and maintain robust data pipelines for data scraping, processing, extraction, transformation, loading, and storage. Responsibilities include collaborating with data scientists, cleaning and structuring data, managing databases, automating data fetching, troubleshooting issues, and staying updated with industry trends. Qualifications include a Bachelor's or Master's degree in Computer Science, Engineering, Data Science, at least 3 years of industrial experience in a data engineering role, experience with web scraping and APIs, cloud-based infrastructure, NLP and Machine Learning frameworks, and strong problem-solving and communication skills.