AWS Data Engineer

We are seeking an experienced AWS Data Engineer to join our dynamic team in Karnataka. The ideal candidate will have a strong background in data engineering, particularly with AWS technologies, and will be responsible for designing, building, and maintaining data pipelines that support our data analytics and business intelligence initiatives. As an AWS Data Engineer, you will work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data is accessible, reliable, and timely. You will leverage your expertise in AWS services, Python programming, and data orchestration tools like Airflow to create efficient data workflows and manage large datasets. Key Responsibilities: - Design and implement scalable data pipelines using AWS services such as S3, Redshift, and Glue. - Develop and maintain ETL processes to extract, transform, and load data from various sources into data warehouses. - Collaborate with cross-functional teams to gather data requirements and provide insights through data analysis. - Optimize data storage and retrieval processes to improve performance and reduce costs. - Monitor and troubleshoot data pipeline performance and reliability issues. - Document data engineering processes and maintain best practices for data management. Required Skills: - Proficiency in AWS services related to data engineering. - Strong programming skills in Python. - Experience with data orchestration tools, particularly Apache Airflow. - Familiarity with data processing frameworks such as Databricks. - Solid understanding of SQL and database management. If you are passionate about data engineering and have a proven track record of working with AWS technologies, we encourage you to apply and join our innovative team.