designs, builds, and manages data infrastructure (pipelines, warehouses, lakes) while mentoring a team, setting technical direction, and ensuring data quality,
requiring strong SQL/Python, cloud skills (Azure/AWS), Big Data tech (Spark, Kafka), and leadership/communication for stakeholder alignment and project delivery.
This role blends hands-on coding with strategic leadership , focusing on scalable, reliable data solutions and driving innovation.
Key Skills & Qualifications and Responsibilities include:
Experience
: 8-12 years in data engineering/analytics, proven team leadership/mentoring.
Technical
: SQL, Python, Cloud (Azure/AWS), ETL tools, Data Warehousing (Snowflake, Redshift), Big Data (Spark, Kafka), Orchestration (Airflow).