Senior Data Engineer

Role: AWS Data Engineer Experience: 8 Years Work location: Hyderabad Technical Skills: Proven experience as a Data Engineer or in a similar role. - Strong proficiency in SQL scripting. Proficiency in Python for data manipulation and automation Experience with Apache Airflow for workflow orchestration Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue. Solid understanding of data warehousing concepts, with practical experience using Snowflake. Enhance Operational Efficiency: Reduce Job Monitoring Time, Decrease Manual Operations. Strengthen Data and Infrastructure: Improve Data Quality, Accelerate Cloud Migration . Deepen Architectural and Cross-Functional Understanding:Enhance System Architecture Knowledge, Map Cross-Functional Dependencies Job Description: * Design, develop, and maintain ETL/ELT data pipelines to ingest data from various sources, including databases and flat files, into our data warehouse. * Utilize AWS services such as AWS Lambda, AWS DMS, and AWS Glue for data ingestion and transformation processes. * Develop and optimize Snowflake stored procedures to implement complex business logic and data transformations. * Manage and monitor scheduled data workflows using Apache Airflow. * Work closely with stakeholders to understand project requirements and translate them into technical solutions, ensuring seamless integration with existing data pipelines. * Implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports. * Adhere to the full project delivery lifecycle, including requirements gathering, design, implementation, documentation, and obtaining user acceptance testing (UAT) approvals. * Deliver data sets to other AWS accounts and support the creation of Power BI reports.