Senior Engineer- Snowflake AWS Glue

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

Job summary

InfoCepts is seeking a Data Engineer- Snowflake AWS to design, develop, and maintain scalable data pipelines and models in Snowflake for retail operations. You will enable accurate reporting across customer, sales, inventory, and workforce domains.

Responsibilities include building pipelines from MMS, CRM, Workday, and other sources, implementing ETL workflows with Talend and AWS Glue, and optimizing performance and costs in Snowflake. Collaboration with analysts and stakeholders is essential.

Qualifications

• 3+ years in data engineering with Snowflake experience.
• Bachelor’s or Master’s in CS/Data Science or related field.
• Retail data domain experience is a plus.

Responsibilities

• Develop data pipelines integrating MMS, CRM, Workday, Courion and other sources into Snowflake.
• Build ETL workflows using Talend, AWS Glue and SQL stored procedures.
• Model data with Snowflake tables and layered views for business use.
• Collaborate with analysts, stakeholders and regulatory teams to deliver data solutions.
• Optimize query performance and costs in Snowflake.
• Document data models, transformations and lineage for governance.

Skills

Snowflake

SQL

Python

AWS Glue

AWS services

S3

Git

CI/CD

Cloud platforms

Education

Bachelor's or Master's in CS/DS/related

Tools

Talend

Job description

Position

Data Engineer- Snowflake AWS

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: 3+ years in data engineering, with at least 1?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.