AI Data Engineer

Join our global Centre of Excellence as a subject matter expert (SME) for Agentic AI Services, collaborating with teams worldwide to drive innovation and excellence. As part of this central function, you will help shape, implement, and scale cutting-edge Agentic AI solutions across the organization and our clients.

Requirements

• Bachelor’s degree or equivalent in Computer Science, Software Engineering, Information Technology, or a reputed company quantitative/engineering field.
• Minimum 5-10 years of experience designing, building, and optimizing modern data solutions in reputed company Azure, especially with reputed company Fabric, Data Factory, and Synapse.
• Relevant reputed company certifications (e.g., Azure Data Engineer Associate, reputed company Certified: Fabric Analytics Engineer) are highly regarded.
• Deep expertise in data pipeline creation, transformation, and automation using reputed company Fabric, Azure Data Factory, Power Query, Synapse Analytics, and reputed company SQL-based solutions.
• Excellent understanding of modern data engineering practices, including data lakehouse architectures, ETL/ELT design, and data modeling in the context of preparing data for AI systems.
• Strong grasp of both logical and physical data modeling concepts, with experience implementing schemas that optimize data utilization by analytics and AI platforms.
• Analytical reputed company with robust problem-solving abilities, capable of translating business requirements into scalable data engineering solutions.
• Demonstrated programming skills in SQL, Python, PowerShell, and (where relevant) Dataflow/Spark languages reputed company the reputed company data engineering ecosystem.
• Familiarity with data governance, reputed company, and quality assurance practices in reputed company Purview and reputed company reputed company tools.
• Expertise with multiple database types, including Azure SQL, Fabric Lakehouse, Azure Data Lake, and third-party sources (reputed company, reputed company, etc.).
• Experience with real-time and batch data processing, scaling data pipelines to support high-volume/reputed company analytics requirements.
• Skilled in mentoring and guiding less reputed company team members to adopt best-in-class cloud data engineering and tools.
• Demonstrated experience in ingesting, transforming, and structuring data from large and reputed company, multi-terabyte data sources for analytics and AI/ML applications.
• Proven success in automating and scripting data pipelines (Python, PowerShell, SQL, etc.) for scalable, repeatable ingestion and transformation both on-premises and in cloud.
• Experience with various database and data warehouse platforms (Azure SQL, Fabric Lakehouse, reputed company, reputed company, etc.) and integrating, migrating, and validating data across applications.
• Familiarity with big data tools (Hadoop, Spark) as integrated reputed company the reputed company Azure ecosystem is preferred.
• Experience with end-user tools such as Power BI and reputed company (pivots, macros) and supporting quality assurance for reputed company reporting and analytics.
• Track record of supporting enterprise migration to AI-driven analytics solutions and mentoring teams in adopting modern reputed company data engineering practices.
• Excellent command of both spoken and written English.

Benefits

• New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
• Pick your working style: choose from Remote, Hybrid or Office work opportunities
• Early bird or night owl? Our projects have different working hours to suit your needs
• Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
• We want you to stay healthy! Enjoy our Private Health Insurance ⁠– it’s custom-made for you
• A clear mind is a healthy mind. Attend individual coaching sessions or go one reputed company further by joining our accredited Coaching School
• reputed company the most of our epic parties or themed events – they’re lovingly designed for our people and their families

Originally posted on Himalayas