Senior Data Engineer

Job Title: Senior Data Engineer Job type: Full time Work Mode: Somajiguda,Hyderabad (Onsite) Shift Timings: 3:00 PM – 12:00 AM IST We are seeking an experienced Senior AWS Data Engineer to design, build, and maintain scalable data infrastructure and pipelines. This role requires close collaboration with data scientists, developers, and business stakeholders to ensure high data availability, quality, and reliability across the organization. Key Responsibilities Design, develop, and maintain scalable data infrastructure and pipelines using AWS services such as Amazon S3, Amazon Redshift, Amazon Athena, and Amazon Glue. Collaborate with cross-functional teams including data science, engineering, and product management to design and implement data solutions that meet business requirements. Develop and maintain data quality and integrity processes to ensure high-quality data is available for analysis and decision-making. Work closely with data scientists to develop and deploy machine learning models using AWS SageMaker and other tools. Design and implement data pipelines using Apache Beam, Apache Spark, or AWS Glue to process large datasets. Ensure data security and compliance by implementing appropriate controls and monitoring data access and usage. Develop and maintain documentation of data processes, architectures, and systems to ensure knowledge sharing and reuse across the organization. Key Requirements Bachelor's degree in Computer Science, Information Technology, or related field 5+ years of experience in designing, building, and maintaining scalable data infrastructure and pipelines using AWS services Strong understanding of cloud-based data processing technologies such as Amazon S3, Amazon Redshift, Amazon Athena, and Amazon Glue Experience with data quality and integrity processes and tools Strong programming skills in languages such as Python, Java, or Scala Familiarity with data visualization tools such as Tableau, Power BI, or D3.js Knowledge of machine learning concepts and experience with AWS SageMaker or other machine learning platforms Excellent communication and collaboration skills Ability to work in a fast-paced environment and prioritize multiple tasks and projects Benefits Competitive salary and benefits package Opportunities for professional growth and development Collaborative and dynamic work environment