Consultant - Business Consulting - Data Science/Engineering Domain

As a Python Data Engineer with 3 - 10 years of experience, your role will involve developing data pipelines that process large volumes of data using Python, PySpark, Pandas, etc., specifically on AZURE. You will be responsible for developing ETL, OLAP based, and Analytical Applications. Additionally, you will handle ingesting batch and streaming data from various sources and writing complex SQL queries using RDBMS such as Oracle, PostgreSQL, SQL Server, etc. Key Responsibilities: - Develop data pipelines using Python, PySpark, Pandas, etc., on AZURE - Create ETL, OLAP based, and Analytical Applications - Ingest batch and streaming data from various sources - Write complex SQL queries using RDBMS - Collaborate with other teams to understand business requirements and client infrastructure - Work closely with AI and A team to build world-class solutions and define AI strategy Qualifications Required: - Bachelor's degree in computer science, information technology, or a similar field - Strong logical structuring and problem-solving skills - Expert level understanding of databases - Familiarity with Rest APIs - Experience with CI/CD pipelines, branching strategies, & GIT for code management - Comfortable working in Agile projects In this role, you will need to be well-spoken and have the ability to establish productive, long-lasting working relationships with a variety of stakeholders. You will also take the lead on data pipeline design, demonstrating strong analytical skills and attention to detail to address the challenges faced by businesses. Your communication skills, both verbal and written, will play a crucial role in collaborating with different teams and understanding business requirements. Please note that for your candidature to be considered, you must apply on the company's redirected page for this job. As a Python Data Engineer with 3 - 10 years of experience, your role will involve developing data pipelines that process large volumes of data using Python, PySpark, Pandas, etc., specifically on AZURE. You will be responsible for developing ETL, OLAP based, and Analytical Applications. Additionally, you will handle ingesting batch and streaming data from various sources and writing complex SQL queries using RDBMS such as Oracle, PostgreSQL, SQL Server, etc. Key Responsibilities: - Develop data pipelines using Python, PySpark, Pandas, etc., on AZURE - Create ETL, OLAP based, and Analytical Applications - Ingest batch and streaming data from various sources - Write complex SQL queries using RDBMS - Collaborate with other teams to understand business requirements and client infrastructure - Work closely with AI and A team to build world-class solutions and define AI strategy Qualifications Required: - Bachelor's degree in computer science, information technology, or a similar field - Strong logical structuring and problem-solving skills - Expert level understanding of databases - Familiarity with Rest APIs - Experience with CI/CD pipelines, branching strategies, & GIT for code management - Comfortable working in Agile projects In this role, you will need to be well-spoken and have the ability to establish productive, long-lasting working relationships with a variety of stakeholders. You will also take the lead on data pipeline design, demonstrating strong analytical skills and attention to detail to address the challenges faced by businesses. Your communication skills, both verbal and written, will play a crucial role in collaborating with different teams and understanding business requirements. Please note that for your candidature to be considered, you must apply on the company's redirected page for this job.