Senior Data Engineer- Snowflake AWS glue

InfoCepts; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

InfoCepts is seeking a Senior Engineer- Snowflake AWS Glue to design, develop, and maintain scalable data pipelines and models in Snowflake for retail analytics. You will integrate data from multiple sources and optimize ETL workflows, while collaborating with analysts and stakeholders to ensure accurate reporting.

The role requires strong Snowflake, SQL, Python, and AWS Glue experience, plus a solid understanding of cloud-based data environments and governance.

Qualifications

• 5+ years in data engineering with at least 2 years in Snowflake.
• Strong experience with Snowflake data warehousing, security and performance tuning.
• Hands-on with AWS Glue pipelines, S3, Lambda and Step Functions.

Responsibilities

• Design, develop and maintain scalable data pipelines in Snowflake.
• Build and optimize ETL workflows using Talend, AWS Glue and SQL procedures.
• Model data in Snowflake with layered views for business consumption.
• Collaborate with data analysts, stakeholders and regulatory teams.
• Monitor performance, optimize queries and control data costs.
• Document data models, transformations and lineage for audit/compliance.

Skills

Snowflake

SQL

Python

AWS Glue

AWS services

Data pipelines

Performance optimization

Git

CI/CD

Cloud platforms

Education

Bachelor's or Master's in Computer Science or Data Science

Tools

Git

CI/CD tools

Job description

Position: Senior Engineer- Snowflake AWS glue

Purpose of the Position:

To design, develop, and maintain scalable data pipelines and models in Snowflake for retail operations, enabling accurate reporting and analytics across customer, sales, inventory, and workforce domains.

Location:

Pune/ Bangalore/Chennai/ Nagpur

Key Result Areas and Activities:

• Data Pipeline Development: Integrate data from different sources like MMS, CRM, Workday, Courion, and other sources via S3 files, APIs, or direct staging in Snowflake.


• ETL Development: Build and optimize ETL workflows using Talend , AWS Glue and SQL stored procedures.


• Data Modeling: Create and maintain Snowflake tables and layered views for business consumption.


• Collaboration: Work closely with data analysts, business stakeholders, and regulatory teams to understand data needs and deliver solutions.


• Performance Optimization: Ensure efficient query performance and cost-effective data processing in Snowflake.


• Documentation & Governance: Maintain clear documentation of data models, transformations, and lineage to support audit and compliance requirements.

Roles and Responsibilities

Essential Skills

• Strong hands‑on experience with Snowflake (data warehousing, performance tuning, security).


• Strong SQL skills with stored procedure development.


• Solid understanding of SQL and advanced query optimization techniques.


• Strong experience in Python development for data engineering, automation, and ETL/ELT pipeline development.


• Hands‑on experience in designing, developing, and maintaining AWS Glue pipelines, including Glue Jobs, Crawlers, Data Catalog, and workflow orchestration.


• Experience building scalable data integration and transformation solutions using AWS services such as S3, Glue, Lambda, and Step Functions.


• Familiarity with version control (Git) and CI/CD workflows.


• Experience with cloud platforms (AWS, Azure, or GCP), with strong preference for AWS.


• Knowledge of data pipeline monitoring, performance optimization, and troubleshooting in cloud-based data environments.

Desirable Skills

• Exposure/working knowledge


• Understanding of retail data structures (sales, customer, product, workforce).


• Experience with API‑based data ingestion.

Qualification:

• Experience: 5+ years in data engineering, with at least 2 years in Snowflake.


• Education: Bachelor's or master's degree in computer science, Data Science, Bioinformatics, or related field.

Qualities:

• Strong analytical and problem‑solving mindset.


• Detail‑oriented with a focus on data accuracy and compliance.


• Excellent communication and stakeholder management skills.


• Ability to work independently and collaboratively in cross‑functional teams.


• Adaptability to fast‑paced and regulated environments.