Back
Metro Hyderabad and common data engineering skills increase applicants, but senior 7+ years and specialized stack reduce competition.
Core data engineering skills transfer, but finance governance and HVR/Snowflake specialization limit portability.
Explicit 7+ years, 4+ years leadership, and mandatory Snowflake/dbt/HVR/DevOps make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead development and management of data warehousing solutions focusing on Snowflake and integrations via HVR and dbt to support organizational decision-making.
Design, automate, and monitor data pipelines and quality checks optimizing performance, scalability, cost, and compliance within cloud and on-prem environments.
Collaborate cross-functionally to align data warehousing initiatives with business goals while driving innovation through rapid prototyping and technology adoption.
7+ years of experience in data warehousing including at least 4 years in a leadership role involving team management.
Bachelor’s degree in Data Science, Computer Science, or related field (Master’s preferred).
Hands-on experience with Snowflake, AWS S3, Python and/or SQL, data governance, HVR, Airflow, dbt, DevOps tools such as Terraform/CloudFormation, and CI/CD pipelines.
Experience managing and optimizing both batch and real-time data processing pipelines with strong knowledge of data security and governance standards.
Experienced in leading technical teams managing complex data warehousing environments in hybrid on-prem and cloud infrastructures.
Proficient in integrating modern data engineering tools and practices, including DevOps automation and cloud-native services for scalable, secure data solutions.
Strategic operator able to align technical execution with business objectives and continuously improve data infrastructure leveraging AI/ML tools and advanced analytics capabilities.