Senior Cloud Data Architect

Job Title : Full Stack Data DeveloperTransform Your Career with a Senior RoleAbout the Position : Our client seeks a highly skilled Senior Data Engineer to design, develop, and maintain scalable ETL / ELT pipelines using Python and PySpark.The ideal candidate will have strong hands-on experience in Python and PySpark for data processing and transformation, as well as proven expertise in building and managing ETL pipelines in production environments.Key Responsibilities : Design and develop scalable ETL / ELT pipelines using Python and PySpark.Work with large-scale data ingestion and migration projects across cloud and on-premise environments.Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions.Optimize data workflows for performance, reliability, and scalability.Implement and manage data lake and data warehouse architectures.Ensure data quality, integrity, and governance across all stages of the pipeline.Utilize AWS services (especially S3, Glue, Lambda) for cloud-native data engineering solutions.Participate in code reviews, technical design discussions, and mentoring junior engineers.Required Skills & Qualifications : Strong hands-on experience in Python and PySpark for data processing and transformation.Proven expertise in building and managing ETL pipelines in production environments.Solid understanding of data warehousing concepts and experience with platforms like Snowflake, Redshift, or BigQuery.Experience with cloud platforms, preferably AWS (S3, Glue, EC2, Lambda).

Ability to solve complex technical scenarios related to data ingestion, transformation, and migration.Familiarity with CI / CD pipelines and version control tools like Git.Benefits : Opportunity to work with cutting-edge technologies.Chance to collaborate with experienced professionals.Flexible work environment.What We Offer : A competitive salary package.A comprehensive benefits program.Opportunities for professional growth and development.