GCP Engineer

Job Description: Senior Data Engineer (Sr. Consultant)

Hinduja Global Solutions Ltd., (HGSL)

is an Indian listed company and part of Hinduja Group serving fortune 500 companies for the last 40 years. It is a Digital Technology BPM company specialising into Consumer Engagement Services in the field of Technology, Telecom, banking, retail operations, Data Analytics and Digital Technology services. The Parent Co holds entities in the USA, Philippines, UK, Canada, South Africa, Colombia and Jamaica through subsidiaries and step-subsidiaries. With more than 18,000 employees spread across 9 countries, our mission is to make our clients more competitive by providing exceptional experience. Powered by people’s first philosophy and experience serving over 1100 of the world’s leading brands, HGS is the perfect place to build your future!

Position Summary: As a

Senior Consultant , you will lead the architecture and delivery of enterprise-grade data platforms on

Google Cloud . You aren't just building pipelines; you are designing scalable, secure, and cost-effective ecosystems. You will act as a bridge between technical teams and business stakeholders, ensuring that data architectures align with long-term strategic goals.

Key Responsibilities: Architectural:

Hands on knowledge of end-to-end ELT/ETL architectures using

Medallion (Bronze/Silver/Gold)

or

Data Mesh

patterns in BigQuery. Advanced Pipeline Engineering:

Build complex, event-driven, and streaming pipelines using

Dataflow (Apache Beam)

and

Pub/Sub . Hands on experience in automating data pipelines using

workflows or Airflow Data Ops & CI/CD:

Own the deployment lifecycle. Implement infrastructure-as-code using

Terraform

and automate SQL transformations using

Dataform

or

dbt . Performance & Cost Governance:

Conduct deep-dive audits of BigQuery usage. Security & Compliance:

Design row-level and column-level security models. Implement data masking and PII discovery using

Cloud DLP

and

Dataplex . Mentorship:

Mentor 2–4 consultants, performing code reviews and providing technical guidance on complex "blocking" issues. Mange and implement Data governance framework, Role based access control on BQ tables, Data lifecycle, Data lineage, Security and compliance.

Education: Bachelor's degree in a relevant field; Experience and Requirements: Experience:

5–8 years in Data Engineering, with at least

3+ years dedicated to GCP . Engine Mastery:

Deep expertise in

BigQuery

(Internal mechanics, query plans, search/vector indexes). Programming:

Advanced

Python

(Pandas, PySpark, Beam SDK) and

Expert-level SQL . Orchestration:

Experience building complex, dynamic DAGs in

Cloud Composer (Airflow) . Certification:

Google Cloud

Associate Data Practitioner

or

Professional Data Engineer . Tools:

Familiarity with version control ( Git ) and CI/CD pipelines building for automated code deployments.

Why choose us? As an equal opportunity employer, HGS is dedicated to diversity, inclusivity and Equity. HGS does not discriminate on the basis of the race, ethnicity, religion, sex, national origin, age, veteran disability, or genetic information or any other reason prohibited by law in employment. We believe in the power of diversity to create an environment where every individual excels, and our diverse customer and colleague base is deeply understood.

Plus, working with HGS comes with benefits like: Competitive renumeration Excellent Benefits including – Shift allowance, Health, Accidental and Life coverage. Excellent performance based annual increments. Fast paced growth opportunities International work experience Opportunity to participate in various sports and CSR activities.