Data Engineer

TOPS Infosolutions Pvt. Ltd.; Ahmedabad District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

TOPS Infosolutions Pvt. Ltd. is seeking a Data Engineer to shape the data foundation across software platforms. You will build reliable data pipelines, ensure data quality, and deliver actionable insights for multiple stakeholders.

The role sits at the intersection of data engineering, product, and business teams, requiring collaboration with internal and external partners. You will optimize data models, integrate with APIs, and drive scalable data solutions within an AWS-based architecture.

Qualifications

• 3–6+ years of experience in Data Engineering or related role.
• Strong proficiency in Python for data processing and scripting.
• Advanced experience with PostgreSQL (query optimization, schema design).
• Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue, Redshift).
• Experience integrating with external APIs.
• Solid understanding of ETL/ELT pipelines, data modeling, and warehousing concepts.
• Experience working cross-functionally with business stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data models in PostgreSQL and cloud-native architectures.
• Work within AWS ecosystem (S3, Lambda, RDS, Glue, Redshift) to support data workflows.
• Collaborate with business stakeholders and external partners to gather requirements and deliver reporting solutions.
• Build datasets and pipelines that power dashboards and reporting tools.
• Optimize queries, pipelines, and storage for performance and cost efficiency.

Skills

Python

PostgreSQL

AWS

ETL/ELT

Data Modeling

Cross-functional

Tools

S3

Lambda

Glue

Redshift

RDS

Job description

Job Title: Data Engineer

About The Role

We are looking for a highly motivated Data Engineer to join our growing team and play a critical role in shaping the data foundation of different software platforms. This role sits at the intersection of data engineering, product, and business stakeholders, and is responsible for building reliable data pipelines, delivering actionable insights, and ensuring data quality across systems. You will work closely with internal teams and external partners to translate business requirements into scalable data solutions, while maintaining high standards for data integrity, performance, and usability.

Key Responsibilities

Data Engineering & Architecture

• Design, build, and maintain scalable data pipelines and ETL/ELT processes
• Develop and optimize data models in PostgreSQL and cloud-native
• architectures
• Work within AWS ecosystem (e.g., S3, Lambda, RDS, Glue, Redshift, etc.) to
  support data workflows
• Ensure efficient ingestion and processing of large-scale datasets

Business & Partner Integration

• Collaborate directly with business stakeholders and external partners to gather requirements and deliver reporting solutions
• Translate ambiguous business needs into structured data models and dashboards
• Integrate with third-party APIs and other external data sources

Data Quality & Governance

• Implement robust data validation, monitoring, and QA processes
• Ensure consistency, accuracy, and reliability of data across the platform
• Troubleshoot and resolve data discrepancies proactively

Reporting & Analytics Enablement

• Build datasets and pipelines that power dashboards and reporting tools
• Support internal teams with ad hoc analysis and data requests
• Partner with product and engineering teams to embed data into the SaaS product experience

Performance & Scalability

• Optimize queries, pipelines, and storage for performance and cost efficiency
• Continuously improve system scalability as data volume and complexity grow

Required Qualifications

• 3–6+ years of experience in Data Engineering or related role
• Strong proficiency in Python for data processing and scripting
• Advanced experience with PostgreSQL (query optimization, schema design)
• Hands-on experience with AWS data architecture (S3, RDS, Lambda, Glue,Redshift, etc.)
• Experience integrating with external APIs
• Solid understanding of ETL/ELT pipelines, data modeling, and warehousing concepts
• Experience working cross-functionally with business stakeholders

Preferred Qualifications

• Experience in AdTech, eCommerce, or SaaS platforms
• Familiarity with BI tools (e.g., Looker, Tableau, Power BI)
• Experience with workflow orchestration tools (e.g., Airflow)
• Understanding of data governance and compliance best practices
• Exposure to real-time or streaming data pipelines

What We’re Looking For

• Strong problem-solver who can operate in a fast-paced, ambiguous
  environment
• Ability to balance technical depth with business context
• Excellent communication skills — able to work directly with non-technical
  stakeholders
• Ownership mindset with a focus on execution and quality
• Skills:- Data engineering, Python, AWS Lambda, Amazon Web Services (AWS), ETL and Amazon S3