GCP Senior Data Engineer

• *Job Summary**
• --------------

We are looking for a **Senior Data Engineer with deep expertise in Google Cloud Platform (GCP)** to design, build, and optimize scalable data ecosystems. This role is critical in enabling data\-driven decision\-making by developing high\-performance data pipelines, ensuring data reliability, and supporting enterprise\-wide analytics initiatives.

You will work closely with cross\-functional stakeholders including data scientists, analysts, and business teams to translate business requirements into robust data solutions.

• *Key Responsibilities**
• -----------------------

• *Data Engineering \& Architecture**

• Design, build, and maintain scalable and high\-performance **data pipelines** on GCP.
• Develop and manage modern **data architectures** to support batch and real\-time processing needs.
• Implement reusable frameworks to standardize data ingestion and transformation processes.

• *GCP\-Based Data Integration**

* Leverage **GCP services** such as

• + **Dataflow**

+ **Big Query**

+ **Pub/Sub**

+ **Cloud Storage**

+ **Cloud SQL / Fire store**

• Build and optimize data integration workflows ensuring efficiency and scalability.

• *Data Management \& Optimization**

• Optimize storage and query performance across GCP data platforms.
• Ensure cost optimization, performance tuning, and scalable data design.

• *Quality, Governance \& Security**

• Implement robust **data quality checks**, validation frameworks, and monitoring mechanisms.
• Ensure adherence to **data governance, security, and compliance standards**.

• *Collaboration \& Stakeholder Management**

• Partner with **data scientists, analysts, and business stakeholders** to understand requirements and deliver actionable insights.
• Translate business problems into technical data solutions.

• *Operations \& Reliability**

• Monitor, troubleshoot, and ensure **high availability and performance** of data pipelines.
• Implement logging, alerting, and observability frameworks.

• *Leadership \& Mentoring**

• Provide **technical leadership and mentorship** to junior engineers.
• Drive best practices in coding, architecture, and deployment.

• *Continuous Improvement**

• Stay updated with the latest **GCP innovations and data engineering best practices**.
• Proactively recommend improvements to enhance system performance and scalability.

• *Required Qualifications \& Skills**

• *Education \& Experience**

• Bachelor’s or master’s degree in computer science, IT, or related field
• **5\-6 \+ years** of experience in data engineering, with strong exposure to **GCP**

• *Skill Requirements**
• ---------------------

• *Core Technical Skills (Must Have)**

* Strong hands\-on experience with

• + **Dataflow, Big Query, Pub/Sub**

+ **Cloud Storage, Cloud SQL, Fire store**

* Expertise in

• + **ETL/ELT processes**

+ **Data warehousing \& data modeling**

* Strong programming skills

• + **Python, SQL**

• *Key Competencies**

• Strong analytical and problem\-solving skills
• Attention to detail and commitment to data accuracy
• Ability to work independently and in cross\-functional teams
• Excellent communication and stakeholder management skills

• *Preferred (Good\-to\-Have) Skills**

• GCP Certifications (Professional Data Engineer / Cloud Architect)
• Experience with **Big Data technologies** (Hadoop, Spark)
• Exposure to **Machine Learning / AI workflows**

Familiarity with **DevOps practices \& CI/CD pipelines**

• *Must Have Skill**
• ------------------

GCP BigQuery,GCP Dataflow,MS SQL,Python

• *Good to Have Skill**
• ---------------------

• *Other Requirements**
• ---------------------

• *Skill Evaluation Matrix**

• *Skill Area**

• *Mandatory**

• *Expected Proficiency (0–5\)**

Data Pipeline Architecture

Yes

5

GCP Services (Dataflow, Big Query, Pub/Sub etc.)

Yes

5

Data Integration

Yes

4

Data Storage Optimization

Yes

4

Data Quality \& Security

Yes

4

Programming (Python, SQL)

Yes

4

Stakeholder Collaboration

Yes

3

Monitoring \& Troubleshooting

Yes

3

Leadership \& Mentoring

Yes

3

ETL \& Data Warehousing

No

3

Big Data (Hadoop/Spark)

No

3

DevOps

No

2

• *Role Details**

• **Location:** Hyderabad / Chennai (Hybrid)
• **Positions Open:** 4
• **Travel:** Not required
• **Engagement Type:** Individual Contributor
• **Projects:** Enterprise Data \& AI engagements