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.