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Associate Data Engineer

Scoutit · Bangalore

📅 07/08/2026
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We're looking for Associate Data Engineers! Responsibilities Spearhead the development of complex data engineering solutions, establishing best practices and driving clarity in implementation.Lead the incremental development and continuous evolution of existing solutions.Enhance the prescriptive nature of our solutions, aligned with current advancements in data analytics, distributed computing, and machine learning.Mentor team members and nurture talent to build a pipeline of future leaders in data engineering and solution architecture.Ensure seamless integration of projects and teams onto the Stargate platform, including setup, staffing, training, and support.Collaborate with senior business stakeholders to identify and prioritize data opportunities and translate them into scalable data solutions and analytics applications.Conduct occasional reviews to ensure compliance with technical standards and guidelines. Qualifications Proficiency in data engineering and solution design, with a minimum of 5 years of increasing responsibility.Proven leadership in managing technical teams and delivering complex projects, especially involving AI/ML technologies to enhance business outcomes.Advanced technical expertise in Python, Spark, SQL, or similar languages; experience with Palantir Foundry is highly desirable.Strong familiarity with cloud platforms such as AWS or Azure, and a keen interest in AI/ML and LLMs.Demonstrated strategic thinking and problem-solving abilities, with experience steering complex initiatives in a multinational environment.Advanced degree in Computer Science, Engineering, or a related field is preferred. (*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) Skills: data engineering,analytics,ml .
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