Talent Worx is seeking experienced AWS Data Engineers to join their team in multiple locations across India. This mid-level position requires 3-5 years of experience and offers a hybrid work environment. The role focuses on designing and implementing robust data pipelines and analytics solutions using AWS services.
The ideal candidate will work on cutting-edge data engineering projects, utilizing various AWS services such as Glue, EMR, Lambda, Athena, and Redshift. You'll be responsible for building and maintaining data lakes, developing ETL processes, and creating efficient database solutions. The position requires expertise in Python, PySpark, and SQL, along with strong knowledge of AWS data services.
This is an excellent opportunity for a data engineer looking to work with one of India's Big 4 companies. The role offers exposure to large-scale data infrastructure and the chance to work with modern data lake architectures and serverless technologies. You'll be part of a team that ensures data quality, security, and compliance while optimizing performance and cost-efficiency.
The position requires a bachelor's degree in Computer Science or related field and strong technical skills in AWS data services, big data technologies, and programming languages. You'll collaborate with data scientists and analysts, making this an ideal role for someone who enjoys both technical challenges and cross-functional teamwork.
Working at Talent Worx means being at the forefront of data engineering, implementing best practices in data architecture, and contributing to significant projects for major clients. The hybrid work model offers flexibility while maintaining collaborative opportunities with the team.