Walk-in || Data Engineer

Data Engineer

Location: Chennai (Work From Office)

Role Overview:

We are looking for a Data Engineering to design, build and optimize enterprise-scale data pipelines, analytical data models and decision-support infrastructure. The role requires strong hands-on technical expertise along with the ability to lead a small team of data engineers and collaborate with cross-functional stakeholders.

Key Responsibilities:

• Design and develop scalable ETL/ELT pipelines using Python and Airflow/Prefect.
• Build and optimize data lake, data warehouse, and data mart architectures.
• Develop dimensional data models including star and snowflake schemas, OLAP cubes, and analytical layers.
• Ensure high standards of data quality, validation, lineage, and documentation.
• Enable and support ML-ready datasets in collaboration with analytics and data science teams.
• Monitor, troubleshoot, and improve pipeline performance, reliability, and cost efficiency.
• Lead, guide, and mentor a small team of 23 data engineers.
• Collaborate with business, product, analytics, and engineering stakeholders to gather and translate data requirements.
• Enforce data governance, access control, and security best practices.
• Support BI teams with curated datasets, semantic layers, and performance tuning.

Technical & Professional Requirements:

• 6–10 years of experience in Data Engineering or related roles.
• Strong hands-on experience with Python, SQL, and Airflow/Prefect.
• Solid understanding of data lake, data warehouse, and data mart concepts.
• Expertise in dimensional modeling and OLAP systems.
• Experience with Spark and/or Kafka is a strong plus.
• Knowledge of ML data pipelines and feature engineering workflows.
• Proven experience in mentoring junior engineers and conducting code reviews.