Seeking a talented Data Engineer to join our team in Hyderabad. This role is pivotal in constructing and maintaining robust data platforms that fuel analytics, reporting, and AI/ML initiatives. You will tackle moderately complex data engineering challenges independently, collaborating closely with stakeholders to deliver effective data solutions.

As a technical resource, you'll guide team members, champion best practices, and contribute to the ongoing enhancement of our data infrastructure and engineering workflows. This is an opportunity to make a significant impact on enterprise data needs.

Key responsibilities include designing and developing scalable data ingestion, transformation, and integration pipelines. You will build and optimize ETL/ELT workflows for diverse data types and sources, translating business requirements into technical data solutions.

This role involves identifying and resolving complex data challenges, developing data models, and ensuring data quality. Collaboration with data scientists, analysts, and product teams is essential for delivering trusted data assets. Performance monitoring, optimization, and supporting cloud-based data platforms are also core functions.

Further duties include implementing data governance and security standards, creating technical documentation, and participating in code reviews. Troubleshooting production issues, performing root-cause analysis, and contributing to automation and CI/CD processes are vital.

Candidates should hold a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field, with a minimum of 3 years of experience in data engineering or big data development.

Essential skills include a strong command of SQL and Python for data processing, along with experience in developing ETL/ELT pipelines and working with large datasets. Familiarity with data warehouses, data lakes, and modern data architectures is required. Experience with cloud platforms like Azure, AWS, or Google Cloud, and an understanding of data modeling, quality, and governance principles are also necessary.

We are looking for proven analytical and problem-solving abilities, coupled with excellent communication and stakeholder collaboration skills. The ability to work independently and manage multiple priorities is crucial.