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Data Engineer

Data Engineer at Tops Infosolutions · Ahmedabad · 3 - 8 years · ₹12L - ₹18L / yr · Profitable · Posted 31 Mar 2026

Tops Infosolutions's logo

Data Engineer

Zurin Momin's profile picture
Posted by Zurin Momin
3 - 8 yrs
₹12L - ₹18L / yr
Ahmedabad
Skills
Data engineering
skill iconPython
AWS Lambda
skill iconAmazon Web Services (AWS)
ETL
Amazon S3

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

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About Tops Infosolutions

Founded :
2016
Type :
Services
Size :
100-1000
Stage :
Profitable

About

TOPS Infosolutions, an IT Services & Enterprise Solutions Provider, combines Tech Expertise and Business Intelligence to enable Organizations make most of their business operations and customers. As a software development and consulting company, we offer services to enterprises and startups, over 250 clients in more than 20 countries entrust TOPS in diverse industry verticals of software development including real estate, healthcare, retail, hospitality, food and beverages, manufacturing, etc.

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