AWS Data Engineer

Design, develop, and maintain data pipelines and architectures that enable fast data transformation and processing. Work with cross-functional teams to identify and prioritize data transformation requirements. Ensure data quality, integrity, and security throughout the data transformation process. Collaborate with data scientists and analysts to develop and optimize data models and algorithms. Optimize data pipeline performance, scalability, and reliability. Develop and maintain technical documentation for data pipelines and architectures Bachelor s degree in computer science, Engineering, or a related field. Language Pyspark and Java Data modelling, Data Ingestion , Data Warehouse Should have hands on experience in handling projects on Data Bricks Should have strong Design skills Azure Experience in working on AWS platform, Databricks , ADLS, Delta Storage Disturbed processing Python, PySpark, AWS Glue, AWS S3, GitLab. At least 4+ years of experience in data engineering, software development, or related field. Familiarity with machine learning and data science concepts. Experience with agile development methodologies and version control systems such as Git. Pyspark, Python, Aws Data Engineer