Senior GCP Data Engineer

Fractal Analytics

Pune District

On-site

INR 1,500,000 - 2,700,000

Full time

6 days ago
Be an early applicant

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Job summary

Fractal Analytics in Pune, India, is seeking an experienced Data Engineer with 5–10 years of experience to build and optimize data pipelines. You will work with BigQuery, Airflow (Composer), GCS, Dataflow, and Dataproc to move and transform large datasets.

The role requires strong SQL, Python, and PySpark skills, plus data modeling knowledge for both SQL and NoSQL, OLTP/OLAP, and MPP architectures. Join a fast-growing analytics team and drive data-driven insights.

Qualifications

  • Experience with data engineering pipelines and cloud data platforms.
  • Knowledge of database concepts, data modeling in RDBMS vs NoSQL, OLTP vs OLAP, and MPP Architecture.

Responsibilities

  • Developing Data Pipelines (Batch/Streaming)
  • Developing Complex data transformations
  • ETL Orchestration
  • Data Migration
  • Develop and Maintain Datawarehouse / Data Lakes

Skills

BigQuery
Composer (Airflow)
GCS
Dataflow
Dataproc
IAM
Python
SQL
PySpark
Datastream
Data Fusion

Tools

Claude Code
GitHub Copilot
Gemini Code Assist
Codex

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.Locations: Noida, Gurgaon, Pune, Mumbai, Chennai, Bangalore, HyderabadExperience: 5-10 YearsMandatory Services Experience: BigQuery, Composer (Airflow), GCS, Cloud SQL, Dataflow, Dataproc, IAMOptional: Datastream, Data Fusion ADK, A2A, Conversational AI, DBTCoding: Python, SQL, Pyspark, Claude Code or GitHub CoPilot or Gemini Code Assist or Codex• Excellent communication and co-ordination skills• Quick learner & adaptable with regards to new technologies• Ability to research & solve technical issues• Strong Knowledge of database concepts, Data Modeling in RDBMS Vs NoSQL, OLTP Vs OLAP, MPP ArchitectureResponsibilities:• Developing Data Pipelines (Batch/Streaming)• Developing Complex data transformations• ETL Orchestration• Data Migration• Develop and Maintain Datawarehouse / Data LakesGood to have:• Google Cloud Professional Data Engineer CertificationIf you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior GCP Data Engineer
Senior GCP Data Engineer

Fractal • Gurugram District

On-site
INR 1,800,000 - 3,200,000
Google Cloud Professional Data Enginee
Data Engineer - GCP
Data Engineer - GCP

Dentsu International • Pune District

On-site
INR 4,000,000 - 7,000,000
GCP Data Engineer - SS Req
GCP Data Engineer - SS Req

Onix • Pune City

On-site
INR 1,200,000 - 1,600,000
Senior GCP Data Engineer
Senior GCP Data Engineer

Fractal • Pune District

On-site
INR 400,000 - 750,000
Gcp Data Engineer
Gcp Data Engineer

HCL Technologies Limited • Bengaluru, Mumbai, Chennai

On-site
INR 3,000,000 - 4,200,000
GCP Data Engineer
GCP Data Engineer

Ascendion • Pune District

On-site
INR 800,000 - 1,200,000
Big Data & GCP- Senior Software Engineer
Big Data & GCP- Senior Software Engineer

PradeepIt Global Consulting Pvt Ltd. • Bengaluru

On-site
INR 1,200,000 - 1,500,000
Senior GCP Data Engineer (Immediate Joiners)
Senior GCP Data Engineer (Immediate Joiners)

Ascendion • Bengaluru

On-site
INR 1,000,000 - 1,500,000
GCP Data Engineer
GCP Data Engineer

Infosys • Hyderabad, Pune District, Bengaluru

On-site
INR 900,000 - 1,800,000
GCP Data Engineer with big query
GCP Data Engineer with big query

System Soft Technologies • Tamil Nadu

On-site
INR 2,000,000 - 4,000,000