JOB DESCRIPTION
Position/Title:Senior Data Engineer
Department:IT
Location: Bangalore Shifts (if any)
This is a job description for one of Aeries’ preferred partner - Quickbase. In this role, you will be working directly for our partner–as an employee of Aeries.
THE TOP 5 REASONS TO JOIN US
Quickbase Center of Excellence:
In 2023, Quickbase set up its Center of Excellence (CoE) in partnership with Aeries–to consolidate its global operations in Bangalore, India.
This CoE is focused on providing best practices, research, support, and training.
About Quickbase
Our no-code platform lets you easily create, connect, and customize enterprise applications that fix visibility and workflow gaps without replacing a single system. Founded in 1999, Quickbase has since become the leading application platform for dynamic work. Used for complex project and portfolio management, the platform empowers more than 6,000 customers to
see, connect, and control their processes and data all in one centralized location. Named an Inc’s Best Businesses of 2022, see for yourself why Quickbase is at the forefront of business- led innovation at Quickbase.com. Quickbase
–All together now.
https://www.quickbase.com/
About Aeries
Aeries is a technology services and solutions company, headquartered in Mumbai, India, with centers in USA, Mexico, Singapore, and Dubai
We enable mid-size technology product companies scale and optimize their business. At Aeries, we have various unique engagement models with our partners. One such model is this Global Technology Center that has been “Purpose Built” for Quickbase.
https://aeriestechnology.com/careers/
Technologies at Quickbase
Quickbase, a low-code platform, facilitates engineers in creating robust, automated workflow solutions while ensuring direct customer engagement. Being a part of the Quickbase ecosystem broadens exposure to various integrated platforms enhancing our work culture.
Job Title: Senior Data Engineer
About the Role
We are hiring a Senior Data Engineer to shape and strengthen the data foundation that drives company performance. This is a senior individual contributor role with meaningful influence. You will define engineering standards, evolve
our data platform, and ensure data is reliably integrated and structured to support confident decision making across the organization.
Success in this role requires more than technical execution. You will be expected to operate independently, bring structure to ambiguity, challenge unclear assumptions, and translate complex system and business problems into durable data solutions.
Key Responsibilities
Data Platform Leadership
- Lead the development and continuous improvement of data pipelines and integration frameworks
- Define standards for ingestion, orchestration, and data movement across the platform
- Improve reliability, performance, and cost efficiency of data pipelines and storage
- Design scalable, reusable patterns that support consistent data flow across systems Data Integration and Architecture
- Design and implement integrations across internal and external systems using tools such as Fivetran and custom pipelines
- Own how data enters and moves through the warehouse, ensuring consistency and integrity
- Structure data layers to support both upstream flexibility and downstream consumption
- Ensure strong alignment between source system logic and warehouse representations
Data Modeling and Foundation
- Architect and implement core data models in Snowflake using dbt
- Build durable data layers aligned to core revenue and operational domains
- Ensure strong alignment between upstream data structures and downstream reporting needs
- Embed testing, documentation, and performance optimization into standard engineering practice
Data Reliability and Quality
- Establish and enforce data quality standards across ingestion and transformation layers
- Design systems for validation, monitoring, and lineage
- Proactively identify and resolve data issues, reducing ambiguity and downstream impact
- Strengthen trust in enterprise data through consistent and reliable delivery
AI-Enabled Data Systems
- Treat AI as a core capability in modern data engineering, leveraging it to deliver high-quality solutions with greater speed and rigor
- Design data pipelines and structures that enable safe and effective use of AI with trusted data
- Integrate AI into engineering workflows to accelerate development, monitoring, and optimization
- Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency
- Establish practical guardrails for responsible AI usage across both engineering and business consumption
Cross-Functional Partnership
- Translate complex and ambiguous business questions into scalable data solutions
- Communicate technical tradeoffs clearly to both technical and business stakeholders
- Introduce platform and process improvements and drive them through implementation
- Influence data standards across the Data & Analytics function
What We Look For
- Ability to operate independently in complex, evolving environments
- Clear and structured communication
- Strong analytical reasoning and systems thinking
- Ownership mindset with focus on measurable business outcomes
- Willingness to challenge assumptions constructively
- High standards for data quality, reliability, and engineering rigor
Qualifications
- 6+ years of experience in data engineering or analytics engineering
- Strong experience with data integration, pipeline development, and warehouse architecture
- Strong hands-on experience with Snowflake and dbt
- Experience with data integration tools such as Fivetran
- Experience working with cloud platforms such as AWS
- Advanced SQL with demonstrated performance tuning expertise
- Experience with Git-based workflows and GitHub for version control
- Experience building and operating reliable data pipelines
Preferred:
- Experience in SaaS or subscription-based businesses
- Experience working with global stakeholders
- Python for automation or platform tooling
Impact
The systems and standards established in this role will directly influence data reliability, operational efficiency, and decision making. The quality of this foundation will determine how effectively the organization leverages both trusted data and AI to drive performance.
WATCH OUR VIDEOS TO KNOW MORE ABOUT US!
