Role & responsibilities
Bachelor/masters degree in computer science, Information Technology, Data Science, or a related field from Tier 1 institute - Relevant certifications in data architecture or cloud platforms (e.g., Google Cloud Professional Data Engineer) are a plus. - 10+ years of experience in data architecture, data engineering, or a related role. - Proven experience in designing and implementing complex data architectures. - Hands-on experience with data modelling, database design, and data warehousing concepts. - Experience with cloud platforms, with GCP experience being a strong advantage. - Proficiency in SQL and experience with programming languages such as Python, Java, or Scala. - Strong understanding of data integration tools and techniques (ETL/ELT). - Familiarity with cloud-based data services (e.g., AWS, Azure) with preference given to candidates with GCP experience. - Knowledge of data security, governance, and compliance practices. - Ability to work with both structured and unstructure
Preferred candidate profile
Keyskills: GCP ETL AWS Data Warehousing Concepts SQL Azure Database Design Data Modeling ELT