Data Engineer Pyspark GCP - Devops - Immediate or not working

Kairos Technologies

Kolkata District, Chennai District, Bengaluru

On-site

INR 1,800,000 - 2,800,000

Full time

14 days+
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Job summary

Kairos Technologies is hiring a Data Engineer PySpark on GCP to design and optimize scalable ETL pipelines. The role requires hands-on experience with PySpark and cloud services to deliver robust data solutions in a fast-paced environment.

Expected 5–7 years of data engineering experience, strong SQL skills, and familiarity with CI/CD and monitoring practices. Pune & Hyderabad on-site roles with collaborative cross-functional teams.

Qualifications

  • 5–7 years in Data Engineering with PySpark and GCP.
  • Hands-on ETL design, development and optimization with PySpark.
  • Proficient with GCP BigQuery, Cloud Storage, Dataflow, Dataproc.
  • Strong SQL, data modeling and data warehousing knowledge.
  • Experience with CI/CD, version control and cloud monitoring.

Skills

PySpark
GCP
ETL pipelines
SQL
Data modeling
Data warehousing
CI/CD
Data quality
Monitoring

Tools

BigQuery
Cloud Storage
Dataflow
Dataproc
Composer/Airflow

Job description

Location- Pune & Hyderabad

Years of Experience- 5-11 years

Any Project specific Prerequisite skills

Data Engineer Pyspark GCP DEVOPS

Detailed JD

Job Title

  • Data Engineer PySpark GCP 5 to 7 Years
  • 5 to 7 years of experience in Data Engineering with strong expertise in PySpark and Google Cloud Platform GCP
  • Handson experience designing developing and optimizing scalable ETLdata pipelines using PySpark
  • Proficient in GCP services such as BigQuery Cloud Storage Dataflow Dataproc and ComposerAirflow
  • Strong knowledge of SQL data modeling data warehousing and performance tuning techniques
  • Experience handling largescale datasets data transformation validation and quality assurance processes
  • Familiarity with CICD practices version control and cloudbased monitoring and troubleshooting
  • Excellent analytical and communication skills with the ability to deliver robust and scalable data solutions
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