Data Engineer

InfoCepts; India; On-site; INR 900,000 - 1,300,000; Full time

Job summary

InfoCepts is hiring a Data Engineer to design, develop, and maintain scalable data pipelines and Snowflake models for retail analytics across customer, sales, inventory, and workforce domains. You will collaborate with analysts and stakeholders to deliver reliable data products.

The role emphasizes hands-on development with Snowflake, Python, and AWS Glue, ensuring performant queries, cost efficiency, and strong data governance in a fast-paced environment.

Qualifications

• 3–5 years in data engineering with Snowflake experience
• Bachelor's or Master's degree in a relevant field

Responsibilities

• Design, develop, and maintain scalable data pipelines and Snowflake models for retail analytics.
• Collaborate with data analysts and stakeholders to deliver reliable data products.
• Ensure performant queries, cost efficiency, and governance in cloud data environments.

Skills

Snowflake

SQL

Python

AWS Glue pipelines

Git

Cloud platforms (AWS/Azure/GCP)

Education

Bachelor's or Master's in Computer Science, Data Science, Bioinformatics, or related field

Tools

Talend

SQL stored procedures

AWS Glue

Job description

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 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

• 3?5 years in data engineering, with at least 1?2 years in Snowflake.


• 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.