Senior Data Engineer - Snowflake and Python

Infosys; Hyderabad; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Infosys in Hyderabad seeks an experienced Data Platform Engineer to lead Snowflake-based data warehouse solutions. You will design modular ELT/ETL pipelines using Python and dbt, ensuring curated analytics-ready data and robust data quality checks.

The role emphasizes leadership, architectural influence, and collaboration with stakeholders to translate requirements into scalable data delivery.

Qualifications

• 6–8 years of data engineering / data platform development experience.
• Hands-on Snowflake data modeling, performance tuning, and admin fundamentals.
• 6+ years building data pipelines with Python for ELT/ETL and integrations.
• Experience delivering production-grade data solutions with scalable, reliable design.

Responsibilities

• Lead design and delivery of Snowflake-based data warehouse/lakehouse solutions.
• Build and optimize ELT/ETL pipelines with Python and dbt; deliver analytics-ready datasets.
• Develop Snowflake objects and data models; optimize performance across layers.
• Establish coding standards and reusable frameworks for Python and dbt.

Skills

Data engineering

Data platform design

SQL mastery

Leadership & mentoring

Technical discussion & architecture

Modular data architectures

Quality & testing mindset

Collaboration with stakeholders

Education

BTECH

MTECH

MCA

MSC

Tools

Snowflake

dbt

Python

CI/CD

Job description

Snowflake, Python Technology->Data on Cloud-DataStore->Snowflake Technology->->Python

Preferred Qualifications

• - Strong hands-on experience with dbt (models, macros, tests, documentation, and deployment practices).
• - Experience designing modular transformation layers (staging/intermediate/marts) and implementing robust data quality frameworks.
• - Familiarity with orchestration and scheduling patterns for pipelines and transformations.
• - Experience with CI/CD practices for data engineering (version control workflows, automated testing, and release management).
• - Demonstrated ability to lead technical discussions, influence architecture decisions, and mentor team members effectively.

Key Responsibilities

• Data Platform & Solution Delivery - Lead the design and implementation of Snowflake-based data warehouse/lakehouse solutions aligned to business needs.
• - Build and optimize ELT/ETL pipelines using Python and dbt to deliver curated, analytics-ready datasets.
• - Develop and maintain Snowflake objects (schemas, tables, views, stages) and implement efficient data modeling patterns.
• - Drive performance tuning across Snowflake (warehouse sizing, clustering, query optimization) and transformation layers.
• Engineering Excellence & Reliability - Establish coding standards, reusable frameworks, and best practices for Python and dbt development.
• - Implement data quality checks, automated testing, and monitoring to ensure reliable and accurate data delivery.
• - Ensure secure data access patterns and support governance practices such as role-based access and auditing.
• Leadership & Collaboration - Mentor engineers, conduct code reviews, and guide the team on design decisions and implementation approaches.
• - Partner with stakeholders to translate requirements into technical designs, delivery plans, and measurable outcomes.
• - Support release planning, incident triage, and continuous improvements to reduce operational overhead.

Minimum Qualifications

• - BTECH, MTECH, MCA, MSC (or equivalent) in Computer Science, Engineering, or a related field.
• - 6–8 years of overall experience in data engineering / data platform development.
• - 6+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and administration fundamentals.
• - 6+ years of hands-on experience with Python for building data pipelines, automation, and integrations.
• - Strong SQL skills and experience building reliable, maintainable transformations and datasets.
• - Proven experience delivering production-grade data solutions with attention to scalability, reliability, and maintainability.