Job Summary:
We are looking for a skilled Senior Data Engineer with around 4-6 years of experience to join our data engineering team. The ideal candidate should have strong hands-on experience in Snowflake, SQL, Python, PySpark, Spark Architecture and along with a solid understanding of data modeling and ETL pipeline development.
The candidate will be responsible for designing, developing, and maintaining scalable data pipelines, transforming and processing large datasets, and implementing data solutions using Snowflake and distributed data processing technologies. This role requires robust problem-solving, communication skills and the ability to work effectively with cross-functional teams.
Key Responsibilities:
• Design, develop, and maintain scalable ETL/ELT data pipelines using modern data engineering technologies.

• Develop complex and optimized SQL queries for data extraction, transformation, and processing.

• Build and maintain data processing solutions using Python, PySpark, and Apache Spark.

• Design, develop, and optimize data solutions using Snowflake.





• Design and implement scalable data models to support analytical and reporting requirements.

• Develop data applications and interactive solutions using Streamlit. Perform data transformation, cleansing, validation, and quality checks to ensure data accuracy and consistency.

• Identify and resolve performance bottlenecks across SQL queries, Spark jobs, Snowflake workloads, and ETL pipelines.

• Provide technical guidance and mentoring to junior and mid-level team members.
Take ownership of technical deliverables and ensure timely and high-quality delivery.

• Collaborate with business stakeholders, architects, developers, and other teams to understand requirements and translate them into scalable data solutions.

• Participate in technical discussions, design reviews, code reviews, and solution planning.

• Communicate technical concepts, project status, risks, and dependencies effectively to both te

📌 Senior-KDNI (Bengaluru)
🏢 KPMG Delivery Network India 1
📍 Bengaluru