Sr.Data Engineers (India)

Senior Data Engineer Data Engineering Experience: 4+ Years Location: Remote Job Summary We are looking for a Senior Data Engineer with strong expertise in Python, PySpark, Apache Spark, AWS, and Azure. The candidate will work with large and complex datasets, build scalable ETL/ELT pipelines, and independently lead data engineering projects. Key Responsibilities - Design and develop scalable data pipelines for structured, unstructured, and real-time data. - Build complex ETL/ELT and data transformation processes using Python, PySpark, and Apache Spark. - Work with AWS and Azure data services to develop and manage cloud-based data solutions. - Develop and maintain data models for business and analytical requirements. - Work with cloud and on-premise data warehouses and understand their architectures. - Use services such as AWS Glue, EMR, and Azure Data Factory. - Ensure data pipelines are scalable, reliable, and optimized for performance. - Troubleshoot data engineering, performance, and scalability issues. - Independently lead projects and provide technical guidance to team members. - Collaborate with data scientists, analysts, developers, and business stakeholders. - Prepare technical documentation, design specifications, and best-practice guidelines. - Stay updated with emerging data engineering tools and technologies. Required Skills - 4+ years of experience in Data Engineering. - Strong hands-on experience with Python, PySpark, and Apache Spark. - Experience with AWS and Azure cloud platforms. - Strong knowledge of ETL/ELT, data pipelines, and data modeling. - Experience with AWS Glue, EMR, and Azure Data Factory. - Understanding of cloud/on-premise data warehouses. - Solid analytical, problem-solving, and troubleshooting skills. - Excellent communication and stakeholder management skills. - Ability to work independently and lead technical projects. Good to Have - Snowflake - Dataiku - Alteryx - Experience with real-time/streaming data technologies. Education Bachelors degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Work Mode: Remote Compensation: 1,000,000.00 - 1,200,000.00 per year Work Location: Remote .