Position: Data Engineer

Location: Nagpur/Pune

Type of Employment: Full-time

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.

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 robust preference for AWS.
- Knowledge of data pipeline monitoring, performance op

📌 Data Engineer (India)
🏢 InfoCepts
📍 India