Data Engineer

The role of Data Engineer at Atgeir Solutions in Pune requires a Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a minimum of 5-10 years of experience in IT Consulting & Services. As a Data Engineer, you will be responsible for designing, developing, and optimizing data infrastructure and workflows to drive insightful analytics, enhance AI/ML models, and facilitate data-driven decision-making for clients. Your primary responsibilities will include designing and implementing scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. You will also integrate and consolidate data from various sources, ensuring data integrity and quality while implementing data governance practices and complying with information security standards. Collaborating closely with data scientists, software engineers, and business analysts, you will align data engineering solutions with business goals and requirements. Additionally, optimizing database performance, query execution, and storage solutions for efficiency is a crucial part of your role. You will also contribute to innovative projects and mentor junior team members, fostering a culture of continuous learning and development. The ideal candidate for this position should possess proficiency in programming languages such as Python, Java, or Scala, along with hands-on experience in big data technologies like Hadoop and Spark. Strong knowledge of SQL and NoSQL databases, familiarity with data warehousing tools, and experience with cloud platforms such as GCP, AWS, or Azure are essential. Expertise in ETL/ELT processes, data modeling, and data lake architectures, as well as knowledge of data visualization tools, are required. Educational/Academic Experience in teaching relevant technical subjects and the ability to explain complex concepts to diverse audiences are beneficial. Soft skills including excellent analytical and problem-solving abilities, strong interpersonal skills, and the capacity to collaborate effectively in cross-functional teams are highly valued. Preferred qualifications include certifications in cloud technologies, familiarity with AI/ML tools and frameworks, and contributions to research papers, technical blogs, or open-source projects.,