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.

Read about us at:

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.

Read about us at

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