Senior Team Lead | Engineering, AI & Data - Engineering | Data Engineering
• Job requisition ID : 104006
• Location: Bengaluru
• Entity: Deloitte Touche Tohmatsu India LLP
Senior Team Lead | Engineering, AI & Data - Engineering | Data Engineering (DBT, SQL, Airflow, Cosmos)
Location: Bangalore
The team
Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.
Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data
Your work profile
We are looking for a Senior Data Engineer with strong expertise in DBT, SQL, Airflow, and Cosmos to design, build, and optimize scalable data pipelines. This role requires a mix of technical depth, data modelling expertise, and strong communication skills to collaborate effectively with cross-functional teams. Collect, preprocess, and analyse payment datasets (credit card, UPI) to extract meaningful features, including embeddings, time-series signals, and customer behavior patterns.
- Design, develop, and maintain scalable data pipelines using DBT, Airflow, and Cosmos.
- Build and optimize complex SQL transformations for large-scale datasets.
- Implement robust data models following best practices in analytics engineering.
- Orchestrate workflows and ensure reliability, monitoring, and performance of pipelines.
- Collaborate with data analysts, BI teams, and business stakeholders to translate requirements into data solutions.
- Ensure data quality, governance, and documentation across data assets.
- Troubleshoot and resolve data pipeline and performance issues.
- Mentor junior data engineers and contribute to best practices and standards.
Key skills required
- Education - Any Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5–10 years of experience in data engineering or analytics engineering roles.
- Strong hands-on experience with DBT (data modeling, testing, documentation).
- Advanced SQL skills with performance tuning expertise.
- Experience with Apache Airflow for orchestration.
- Familiarity with Cosmos (or similar modern data orchestration frameworks).
- Solid understanding of data warehousing concepts (star schema, dimensional modeling).
- Experience working with cloud platforms, Primarily with AWS Redshift, S3 etc.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
Good to Have
- Experience with BI tools such as Tableau or Power BI.
- Exposure to data governance and data quality frameworks.
- Knowledge of CI/CD practices in data engineering using GitHub.
- Experience in Agile/Scrum environments.
- Knowledge of Informatica Power Center