Role Description
Who we are:
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at .
Summary:
Job Summary
We are seeking a skilled and motivated Big Data Engineer with 2-4 years of experience in designing, developing, and maintaining large-scale data processing systems. The ideal candidate should have solid expertise in AWS cloud services, Python, and PySpark, along with hands-on experience in building scalable data pipelines, data lakes, and ETL solutions. The candidate will work closely with data architects, analysts, and business stakeholders to deliver high-quality data solutions that support analytics and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable and reliable data pipelines for processing large volumes of structured and unstructured data.
Build and optimize ETL/ELT workflows using PySpark and Python.
Develop and manage data lake and data warehouse solutions on AWS Cloud.
Implement data ingestion frameworks from multiple data sources, including databases, APIs, files, and streaming platforms.
Leverage AWS services such as S3, Glue, EMR, Lambda, Redshift, Athena, CloudWatch, and IAM for data engineering solutions.
Perform data transformation, cleansing, validation, and enrichment to ensure high data quality.
Optimize Spark applications for performance, scalability, and cost efficiency.
Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
Monitor data pipelines and resolve production issues to ensure data availability and reliability.
Implement security best practices, governance, and compliance standards across data platforms.
Participate in code reviews, unit tes
📌 Associate III (Hyderabad)
🏢 UST
📍 Hyderabad