STIRISTA Data Engineer May 2025

Data Engineer

About Stirista: Stirista Solutions Private Limited is a Bengaluru-based company, providing support to

Stirista (www. Stirista.com), a digital marketing, data, and technology company based in San Antonio,

Texas. Our employees get a chance to work on real client problems as well as provide building blocks for

our new projects. You will be exposed to a series of tasks that will challenge not only your knowledge / skills

but also your critical thinking and problem-solving abilities.

Join us to become a part of the culture that helped us land the Ad Age Best Places to Work award two

years in a row. We are also amongst the top 15 fastest growing Marcomm agencies.

This is an opening for a full-time position based in Bengaluru.

We are currently looking for: Data Engineer

Location: Bengaluru, India

Experience: 3+ years

Department: Data Solutions

Job Summary

The Data Engineer modernizes and scales our data infrastructure by architecting robust pipelines that bridge legacy on-premises systems with modern cloud environments. This role is responsible for the end-to-end implementation of the client’s data mart and customer analytics platform, ensuring seamless integration between Microsoft SQL Server and Google Cloud Platform (GCP). You will serve as a technical linchpin, turning raw data into a strategic asset through high-performance architecture and cloud-native modernization.

Core Responsibilities

Architect & Deploy Solutions: Design scalable technical architectures for data marts. Define and implement critical components including data maps, transformation logic, and aggregation strategies.





Engineer ETL/ELT Pipelines: Build and maintain high-volume data pipelines using the language of your choice (Python, C#, Java, etc.) and Big Query.

Drive Cloud Modernization: Lead migration initiatives from legacy on-premises environments to Google Cloud Platform (GCP), ensuring data harmony across hybrid infrastructures.

Optimize Data Performance: Develop and tune data warehousing solutions to ensure maximum efficiency, reliability, and cost-effectiveness.

Collaborate Strategically: Partner with Data Architects and Analysts to translate high-level business requirements into technical specifications that align with organizational goals.

Establish Data Governance: Enforce rigorous data quality standards and maintain comprehensive documentation to ensure transparency and system maintainability.

Technical Skills & Experience

STIRISTA Data Engineer May 2025

Experience: 3+ years in data engineering, data warehousing, and business intelligence. Language Mastery: Advanced proficiency in T-SQL and either Python, C# or Java. Modern Data Stack: Expert-level experience with Google Big Query and cloud services

(GCP, AWS, Azure, etc.). Cloud Expertise: Proven proficiency in GCP services (Big Query, Cloud Storage) and





orchestration tools like Google Cloud Composer. Modeling: Deep understanding of dimensional modeling, ETL/ELT best practices, and

hybrid data integration.

Skilled Abilities

Strategic Execution: Ability to translate complex business needs into technical roadmaps and specific requirements.

Agility: Proven success in high-paced environments, managing shifting priorities and ambiguous requirements with poise.

Communication: Exceptional ability to articulate technical concepts to non-technical stakeholders and negotiate project scopes.

Education

Bachelor’s degree in Computer Science, Information Technology, or a related technical field (or equivalent professional experience).

. Skillset Required: Critical Thinking, Problem Solving, Data Infrastructure, Pipeline Architecture, Cloud-Native Modernization, Data Mart Implementation, Customer Analytics, Microsoft SQL Server, Google Cloud Platform (GCP), Scalable Architecture, Data Mapping, Transformation Logic, Aggregation Strategies, ETL, ELT, Python, C#, Java, Big Query, Cloud Migration, Hybrid Data Integration, Data Warehousing, Data Performance Optimization, Data Governance, Data Quality Standards, Documentation, Data Engineering, Business Intelligence, T-SQL, Cloud Services, AWS, Azure, Cloud Storage, Google Cloud Composer, Dimensional Modeling, Strategic Execution, Business Requirements Analysis, Technical Roadmaps, Agility, Managing Shifting Priorities, Ambiguity Management, Communication, Stakeholder Communication, Project Scope Negotiation, Cross-Functional Collaboration

📌 Data Engineer (Bengaluru)
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