Snowflake, Python

Infosys Limited; Telangana; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Infosys Limited in Hyderabad is seeking an experienced Data Engineer to lead Snowflake-based data platform delivery. You will design data warehouses, build ELT/ETL pipelines with Python and dbt, and optimize data models for analytics-ready datasets.

The role requires 6-8 years in data engineering with Snowflake, Python, and SQL, and involves mentoring engineers, code reviews, and collaboration with stakeholders to translate requirements into technical designs.

Qualifications

• 6-8 years of overall experience in data engineering or data platform development.
• Hands-on Snowflake experience including data modeling and performance tuning.
• Strong Python for building data pipelines and integrations.
• Proven experience delivering scalable, reliable data solutions.

Responsibilities

• Lead design and implementation of Snowflake-based data warehouse/lakehouse solutions.
• Build and optimize ELT/ETL pipelines using Python and dbt.
• Develop Snowflake objects and implement data modeling patterns.
• Drive performance tuning across Snowflake and transformation layers.
• Establish coding standards and best practices for Python/dbt development.
• Implement data quality checks, automated testing, and monitoring.

Skills

Data pipeline development

SQL proficiency

Team leadership

ETL/ELT design

Education

B.Tech

M.Tech

MCA

MSc

Tools

Snowflake

Python

dbt

Job description

HYDERABAD, Infosys Limited Snowflake, Python

Job ID/Reference Code INFSYS-INDEED1-252718

Work Experience 6 - 8 Years

Educational Requirements MCA,MTech,Bachelor of Engineering,BTech

Service Line Data & Analytics Unit

Responsibilities

• 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.

Additional Responsibilities

• 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.

Technical and Professional Requirements

Technology->Data on Cloud-DataStore->SnowflakeTechnology->->Python

Preferred Skills

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