Senior Data Engineer Job at SRKay Consulting Group (Bangalore)

Senior Data Engineer

SRKay Consulting Group

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

We are hiring highly skilled Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines on Google Cloud Platform (GCP) for our GCC client — Europe’s top retail brand. The ideal candidate will have strong experience in modern data architecture, distributed processing, and cloud-native engineering practices. Exposure to Azure Data Factory (ADF) is considered a strong plus. This opportunity gives you exposure to enterprise-scale initiatives in retail and supply chain, working alongside a peer group of talented engineers, architects, and domain specialists across geographies in a collaborative, innovation-driven environment. It’s a role that not only sharpens your technical expertise but also provides long-term visibility and growth within a global organization.

Job Responsibility:

Design and implement scalable batch and streaming data pipelines on GCP
Build and maintain data solutions using BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, and related services
Architect robust data models for analytics, BI, and AI/ML use cases
Lead technical discussions and mentor junior data engineers
Optimize data processing performance, cost, and reliability
Implement CI/CD, DevOps, and Infrastructure-as-Code practices
Collaborate with data architects, analysts, and business stakeholders to deliver high-quality solutions
Ensure data governance, security, and compliance standards are followed

Requirements:

6–9 years of experience in Data Engineering or Data Platform development
Strong hands-on experience with GCP services: BigQuery, Dataflow (Apache Beam), Dataproc / Spark, Pub/Sub, Cloud Composer (Airflow)
Advanced Python and SQL skills
Expertise in building ETL/ELT pipelines and data modeling
Experience with distributed processing frameworks (Spark preferred)
Strong understanding of Data Lakehouse architecture
Experience with Azure Data Factory (ADF) or Azure data ecosystem
Knowledge of Terraform or other IaC tools
Exposure to ML/AI data pipelines
Experience with containerization (Docker/Kubernetes)
Familiarity with BI tools such as Power BI or Looker
Strong leadership and mentoring ability
Excellent communication and stakeholder management
Ability to work in fast-paced, Agile environments

Nice to have:

Exposure to Azure Data Factory (ADF) is considered a strong plus

Additional Information:

Job Posted:
March 05, 2026

Employment Type:

Fulltime

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