Data Engineer

Data Engineer – Data & AI, Supply Chain Experience: 3–7 Years Location : Hyderabad Key Responsibilities. Hands-on experience developing data solutions on Google Cloud Platform (GCP). Strong experience with: Dataproc,BigQuery,SQL,dbt (Data Build Tool) Strong knowledge of data modeling techniques, including dimensional modeling and analytical data warehouse concepts. Experience building scalable ETL/ELT pipelines and processing large datasets. Familiarity with software development best practices, including Git-based version control and CI/CD. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications Experience with Apache Airflow for workflow orchestration. Experience integrating with Apache Kafka or other event streaming platforms. Working knowledge of PySpark for distributed data processing. Experience using Python for data engineering, scripting, and automation. Knowledge of data quality, metadata management, and data governance principles. Domain Experience (Highly Desirable) Experience in one or more of the following domains is highly desirable: Retail industry (Apparel) Supply Chain data platforms Transportation and Logistics Warehouse Management Systems (WMS) Distribution Center operations Desired Attributes Strong problem-solving and analytical skills. Ability to work independently while collaborating effectively within cross-functional Agile teams. Commitment to delivering high-quality, reliable, and scalable data solutions. Eagerness to learn new technologies and continuously improve engineering practices. Customer-focused mindset with the ability to translate business requirements into effective technical solutions.