Data Practitioner

Qentelli; Hyderabad; On-site; INR 1,500,000 - 3,200,000; Full time

Job summary

Qentelli is seeking an experienced Data Practitioner to design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP). You will build cloud-based data platforms, data transformation frameworks, and ETL/ELT processes with a focus on data quality, security, and performance.

The ideal candidate has hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Functions, and data warehousing concepts.

Qualifications

• Data Engineer Certification is Mandatory.
• 3-5 years of experience in Data Engineering.
• Minimum 6 months with GCP Services.
• Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
• Certification: Google Cloud Data Practitioner.

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
• Develop data solutions using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Dataproc, and Cloud Functions.
• Create and manage data models, data lakes, and data warehouses.
• Ensure data quality, governance, and security standards are maintained.
• Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements.
• Optimize data processing workflows for performance and cost efficiency.

Skills

GCP expertise

ETL/ELT pipelines

Data warehousing concepts

Dimensional modeling

Apache Spark

CI/CD

DevOps practices

Education

Bachelor's or Master's degree in Computer Science/IT/Engineering

Google Cloud Data Practitioner Certification

Tools

Docker

Kubernetes

Git

Cloud Composer

Job description

Job Summary

We are looking for an experienced Data Practitioner with strong expertise in Google Cloud Platform (GCP) to design, develop, and maintain scalable data pipelines and data processing solutions. The ideal candidate should have hands-on experience in building cloud-based data platforms, data transformation frameworks, and ETL/ELT processes while ensuring high data quality, security, and performance.

Roles and Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
• Develop data solutions using BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer, Dataproc, and Cloud Functions.
• Create and manage data models, data lakes, and data warehouses.
• Ensure data quality, governance, and security standards are maintained.
• Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements.
• Optimize data processing workflows for performance and cost efficiency.

Required Skills and Qualifications

Data Engineer Certification is Mandatory

Technical Skills

• Good exp with Google Cloud Platform (GCP).
• Hands-on experience with:
  • BigQuery
  • Dataflow
  • Pub/Sub
  • Cloud Composer (Airflow)
• Experience designing and implementing ETL/ELT pipelines.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with Apache Spark and distributed data processing.
• Familiarity with Git, CI/CD pipelines, and DevOps practices.
• Experience with containerization technologies such as Docker and Kubernetes is preferred.

Database Skills

• Relational Databases: PostgreSQL, MySQL, SQL Server.
• NoSQL Databases: MongoDB, Cassandra, Bigtable (preferred).

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.
• 3-5 years of experience in Data Engineering.
• Minimum 6months with GCP Services
• Certification: Google Cloud Data Practitioner .

Preferred Skills

• Experience with Data Lake and Lakehouse architectures.
• Knowledge of Terraform or Infrastructure as Code (IaC).
• Experience working in Agile/Scrum environments.