Senior Data Engineering Lead

Company Description

Ccube is an IT consulting company specializing in Apps, Data & AI in the Cloud. With expertise in web / mobile app development, data engineering, data architecture, cloud-based DataOps / MLOps, and AI solutions, Ccube provides innovative and scalable technologies. The company delivers turnkey projects and resources across the US and India, focusing on comprehensive solutions in data strategy, analytics, and integration. Ccube's services include optimized data pipelines, AI / ML models, dashboards, and end-to-end analytics within cloud environments such as AWS, Azure, and Google Cloud.

Role Description

This is a full-time on-site role for a Senior Data Engineering Lead, located in Indore. The Senior Data Engineering Lead will be responsible for designing and implementing advanced data models, developing scalable data pipelines, ensuring efficient ETL / ELT processes, and overseeing data integration tasks. The role also involves monitoring system performance, working collaboratively with cross-functional teams, and driving the technical strategy for data management and analytics.

Qualifications

• Proficiency in Data Analytics, Data Analysis, and Analytical Skills.
• Experience in Data Management and Data Modeling.
• Strong background in designing and developing ETL / ELT pipelines with scalability in mind.
• Expertise in data-related cloud technologies such as Databricks, Snowflake, AWS, Azure, or Google Cloud.
• Excellent problem-solving and team collaboration abilities.
• A Master's or Bachelor's degree in Computer Science, Data Engineering, or a related field is preferred.
• Prior experience in a data engineering leadership role is a plus.

Skills Required

Data Management, Data Modeling, snowflake , Data Analysis, Databricks, Azure, Data Analytics, Google Cloud, ELT, Aws, Etl