Chennai, Tamil NaduGurgaon, Haryana
Job Summary

We are seeking a highly skilled Senior Data Engineer / Lead Data Engineer with expertise in Google Cloud Platform (GCP), Big Data technologies, and Data Engineering to design, develop, and deliver scalable, high-performance data solutions. The ideal candidate will provide technical leadership across the software development lifecycle, drive architecture and design decisions, and work closely with product managers, business stakeholders, and cross-functional engineering teams to enable data-driven business outcomes.

The role requires strong hands-on experience in GCP services (BigQuery, Google Cloud Storage), Spark, Scala, Hive SQL, ETL development, Data Modeling, and Data Lake technologies , along with a solid understanding of software engineering principles, distributed systems, and cloud-native architectures. The candidate will be responsible for building and optimizing large-scale data pipelines, ensuring solution reliability, scalability, and performance while supporting continuous integration and continuous delivery (CI/CD) practices.

Additionally, the successful candidate will contribute to technical strategy, mentor engineering teams, conduct code reviews, develop automation frameworks, and identify opportunities to leverage emerging technologies for solving complex business challenges. Experience with Power BI, DAX, Power Query, semantic data modeling, and business intelligence solutions will be an added advantage.

This position demands excellent analytical, problem-solving, leadership, and communication skills, with the ability to influence technical and non-technical stakeholders and drive continuous improvement across the organization.

Key Technologies

GCP | BigQuery | Google Cloud Storage | Spark | Scala | Hive SQL | ETL | Data Modeling | Data Lake | Jenkins | Git | Maven | CI/CD | Unix/Linux | Power BI | DAX | SQL

Experience

4 to 8+ Years in Data Engineering, Big Data Development, Cloud Data Platforms, and Enterprise Analytics Solutions.

Key Responsibilities

Responsibilities:
Provide thought leadership, engineering expertise and direction to the engineering teams; be versatile and be able to collaborate with business stakeholders,



product teams and cross functional technology groups to drive continuous delivery.
Drive user story analysis and elaboration, design and develop software applications, and test and build automation tools.
Own all technical aspects of software development (architecture, design, and development of systems) for assigned applications.
Perform hands-on software development, writing code, API specs, doing proof of concepts, conducting code reviews, and testing in ongoing sprints.
Drive consistent development practices - tools and common components.
Develop deep understanding of tie-ins with other systems and platforms within the supported domains.
Work with technical product managers contributing to blueprints and assisting with annual planning of feature sets.
Identify opportunities for adopting new technology to solve existing needs and predicting future challenges.
Effectively communicate to internal and external business partners on solution design.

Skill Requirements

Functional Skills

Strong analytical & strategic thinking skills
Ability to interpret technical /business objectives and challenges.
Porting/Software Configuration
Agile Methodologies
Software development/ testing
Object oriented analysis and design across multiple platforms.
Designing High Availability applications

Preferred:
Product Engineering Knowledge

Minimum Qualifications

Bachelor’s Degree in Computer Science, Computer Science Engineering, or related field required; advanced degree is preferred.

Preferred Qualifications

4 to 8+ years of commercial software development experience
Proficient in developing, hosting solutions on Google Cloud Platform- Google Cloud Storage and Big Query.
Hands-on experience on Big Data platforms (Scala/Spark/Hive SQL) and Big Data Lake.
Experience and proficiency in ETL (Extract, Transform, Load)



processes and tools and data modelling in Big Data platform.
Proficiency in Secure File Transfer (SFT) operations and its utilization in data management.
Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
Experience with automated release management using Maven, Salt, Git, Jenkins.
Experience in Architecture design and modeling should possess solid skills in designing and modeling complex systems and architectures.
Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux.
Good understanding of data structures, algorithms, and design patterns.
Great written communication and documentation abilities.
Looks proactively beyond the obvious for continuous improvement opportunities.
Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Secondary Skills:
Design and develop end-to-end business intelligence solutions using the Power BI stack.
Define and implement robust data models, metrics, and KPIs to support reporting and advanced analytics.
Design, develop, and optimize scalable multidimensional and tabular data models to enable interactive analytics and reporting.
Demonstrate strong proficiency in DAX, Power Query, and SQL, along with expertise in designing intuitive and visually compelling Power BI dashboards and reports to drive data-driven decision-making.
Troubleshoot, debug, and optimize BI solutions (reports, cubes, and semantic models) to ensure high performance, scalability, and reliability.
Develop and maintain BI frameworks, semantic layers, and metadata repositories to support data governance, standardization, and administration.

Other Requirements
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📌 GCP Application Senior Technical Lead (India)
🏢 HCLTech
📍 India