We are looking for a skilled and solution-oriented professional with expertise in data science, data warehousing, and AWS data-related services. The ideal candidate should have strong technical capabilities, proactive communication skills, and the ability to lead projects from a technical perspective. This role involves working closely with clients and teams across different geographies and requires flexibility to work on US hours.
Key Responsibilities:
Write Python scripts for data processing and packaging based on project requirements.Work on data science and analytics projects, providing data-driven insights.Design and implement data warehousing solutions (preferably using AWS).Utilize AWS services such as RDS, Redshift, Athena, and Lambda for data management and analysis.Develop and maintain SQL and PostgreSQL databases.Collaborate with teams to provide technical solutions and recommendations.Lead projects from the technical end, ensuring timely delivery and quality.Train and mentor team members to enhance their technical capabilities.Work effectively with Git and GitHub for version control and collaboration.Explore and execute automation solutions to improve efficiency and productivity.Encourage and implement work involving automation technologies, including leveraging large language models (LLMs) where applicable.Communicate proactively with clients and internal teams, ensuring alignment across geographies.
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Required Skills and Qualifications:
5+ years of experience in relevant roles.Strong knowledge of Python, SQL, and PostgreSQL.Experience with data science and analytics is highly desirable.Hands-on experience with AWS cloud services (RDS, Redshift, Athena, Lambda).Proficiency in data warehousing concepts and solutions.Familiarity with HTML, CSS, and JavaScript/jQuery.Experience working on cloud platforms (AWS preferred).Knowledge of large language models (LLMs) and their applications is a plus.Strong understanding of Git and GitHub for version control.Proactive communication skills with a solution-oriented approach.Ability to lead and manage technical projects.Flexibility to work in US hours and adapt to project timelines.,
Preferred Experience:
Proven track record of leading projects and collaborating with cross-functional teams.Experience in training teams to uplift technical skills and capabilities.Experience implementing automation solutions in projects.