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Mid-level generalist data engineer, metro Hyderabad and strong global brand creates high candidate competition.
Core cloud data engineering skills are broadly transferable across industries, with slight domain preference.
Mandatory BigQuery, DBT, Airflow and Python expertise plus explicit 3+ years makes filters highly strict.
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Lead design and development of scalable and secure cloud-based data pipelines using Google BigQuery, Python, SQL, DBT, and Airflow.
Ensure data quality through robust validation strategies and deliver analytics-ready datasets for reporting and advanced analytics.
Mentor junior engineers, set engineering best practices, and collaborate with cross-functional teams to support enterprise data strategy.
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
Minimum 3+ years of hands-on data engineering experience focused on data warehousing, pipeline development, and cloud analytics.
Expertise in Google BigQuery, Python, SQL, DBT, and Airflow/Cloud Composer for data integration and workflow orchestration.
Experience building enterprise-grade ETL/ELT pipelines and working within Agile methodologies (Scrum/Kanban).
Strong background in building scalable data architectures and applying data quality frameworks.
Experience with modern ETL platforms (Ascend.io, Databricks, Fivetran, Dataflow) and CI/CD best practices.
Able to collaborate effectively with architects, technical leads, and business stakeholders to deliver impactful data solutions.