Key Skills: AWS Cloud, SQL, Leadership, Python, Gen AI, Snowflake, Spark, Agile, Team Management, Scrum

Roles and Responsibilities:
Lead architecture, design, and development of large-scale enterprise data solutions using Spark, Python, SQL, and Snowflake.
Drive delivery of data pipelines and platform capabilities on AWS, ensuring reliability, performance, and cost-effective operations.
Establish and enforce data management practices including metadata management, data cataloging, and data governance.
Provide people leadership and team management, including coaching, performance management, and technical mentoring.
Apply working knowledge of GenAI tools to support data/analytics use cases and modernize data workflows.

Skills Required:
15+ years of experience in data engineering and platform delivery; 15 - 22 years total experience.
Spark (7+ years) and Python (7+ years)



for building and optimizing data processing pipelines.
AWS Cloud (5+ years) for designing and delivering scalable data platform components.
SQL (5+ years) for data modeling, querying, and performance tuning across enterprise datasets.
Snowflake (3+ years) for data warehousing, ingestion, and analytics enablement.
Mandatory experience in people management/ Global Team Management

Positive to Have:
Agile and Scrum practices, including experience operating in iterative delivery environments.
Team management experience and robust coaching/mentoring background.

Education: Bachelor's degree in a related technical/business area or equivalent work experience.

📌 Data Engineering Senior Manager Telangana
🏢 Careernet
📍 Telangana