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Mid-level data engineer, metro Hyderabad, popular role and 4+ years attracts strong applicant competition.
Core data engineering skills like SQL, Python, Airflow are highly transferable across industries.
Explicit 4+ years and mandatory BigQuery, Python, DBT, and Airflow requirements increase filtering stringency.
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Design, develop, and maintain scalable data integration pipelines using Google BigQuery, Python, SQL, and DBT for enterprise reporting and analytics.
Automate and manage data workflows and orchestration using Cloud Composer (Airflow) ensuring reliable, timely data delivery.
Implement data quality checks and collaborate with cross-functional teams to deliver business-aligned, curated datasets supporting data-driven decision-making.
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or related technical field.
Minimum 4 years of hands-on experience in data engineering focused on data integrations, warehousing, and analytics pipelines.
Proficient with Google BigQuery, Python, SQL, DBT, and Airflow/Cloud Composer for orchestration.
Work Experience Required: At least 4 years as stated in the job description.
Experienced in cloud-based data architecture with expertise in ETL/ELT pipeline development for enterprise-scale systems.
Skilled at building modular, maintainable transformation models and applying best practices for query optimization and data quality.
Able to collaborate effectively across teams including data analysts and product owners to align solutions with business needs and technical documentation.