Description

Key Responsibilities:
- Design and implement scalable data lake/lakehouse architectures on AWS using S3 and Iceberg.
- Develop and optimize ETL/ELT pipelines using PySpark and orchestrate workflows with Apache Airflow.
- Integrate and manage Snowflake as the enterprise data warehouse and business layer for analytics.
- Ensure data quality, governance, security, and performance across the data platform.
- Lead technical design discussions, define best practices, and drive data engineering standards.
- Mentor and guide a team of data engineers, fostering a collaborative and high-performance culture.
- Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders.

Responsibilities
Key Responsibilities:
- Design and implement scalable data lake/lakehouse architectures on AWS using S3 and Iceberg.
- Develop and optimize ETL/ELT pipelines using PySpark and orchestrate workflows with Apache Airflow.
- Integrate and manage Snowflake as the enterprise data warehouse and business layer for analytics.
- Ensure data quality,



governance, security, and performance across the data platform.
- Lead technical design discussions, define best practices, and drive data engineering standards.
- Mentor and guide a team of data engineers, fostering a team-oriented and high-performance culture.
- Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders.

Qualifications
Required Skills & Qualifications:
- 9+ years of experience in data engineering or related roles.
- Proven expertise in AWS services, especially S3-based data architectures.
- Strong hands-on experience with Apache Iceberg, PySpark, and Apache Airflow.
- Solid experience implementing Snowflake as a data warehouse/business layer.
- Strong programming skills in Python and distributed data processing frameworks.
- Experience leading and mentoring engineering teams.
- Excellent problem-solving, communication, and collabo

📌 Lead AWS Data Engineer (Pune)
🏢 EXL
📍 Pune