GCP Data Engineer

Job Description – GCP Data Engineer (4–9 Years Experience)

Company: Impetus Technologies

Position: GCP Data Engineer

Experience: 4–9 Years

Location: Bangalore / Chennai / Gurgaon

Employment Type: Full-Time

We are seeking a highly skilled GCP Data Engineer with 4–9 years of experience in building scalable data platforms and modern data pipelines on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience in designing, developing, and optimizing batch and real-time data processing solutions using GCP services and modern big data technologies.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines on Google Cloud Platform.
• Build and optimize data ingestion, transformation, and processing frameworks for structured and unstructured data.
• Develop batch and streaming data pipelines using Apache Beam, Dataflow, Spark, and Kafka.
• Implement data models and data warehousing solutions using BigQuery.
• Work with large-scale datasets and ensure data quality, governance, and security best practices.
• Integrate data from multiple sources including APIs, databases, cloud storage, and enterprise applications.
• Collaborate with architects, data scientists, analysts, and business stakeholders to deliver data-driven solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
• Implement CI/CD practices and automate deployment processes for data engineering solutions.
• Participate in architecture reviews and contribute to cloud modernization initiatives.

Required Skills & Qualifications

Technical Skills

• 4–9 years of experience in Data Engineering and Big Data technologies.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expertise in:
• BigQuery
• Cloud Storage (GCS)
• Dataflow
• Pub/Sub
• Cloud Composer (Airflow)
• Dataproc
• Cloud Functions
• Strong programming skills in Python, PySpark, SQL, and Java/Scala (preferred).
• Experience building ETL/ELT pipelines and data integration frameworks.
• Good understanding of data warehousing concepts and dimensional modeling.
• Hands-on experience with Apache Spark, Hadoop ecosystem, and distributed computing frameworks.
• Experience with real-time data streaming technologies such as Kafka and Pub/Sub.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Experience with version control systems like Git and CI/CD pipelines.

Database Skills

• Strong proficiency in SQL.
• Experience with:
• BigQuery
• PostgreSQL
• MySQL
• Oracle
• NoSQL databases (MongoDB/Cassandra) is an added advantage.

Preferred Qualifications

• GCP Professional Data Engineer Certification.
• Experience working in Agile/Scrum environments.
• Exposure to data lake and lakehouse architectures.
• Knowledge of Delta Lake, Iceberg, or Hudi is a plus.
• Experience with Infrastructure as Code (Terraform) is preferred.
• Familiarity with data governance and security frameworks.

Education

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Why Join Impetus

• Opportunity to work on large-scale cloud and data transformation projects.
• Exposure to cutting-edge GCP, AI, and analytics technologies.
• Collaborative and innovation-driven culture.
• Continuous learning and certification support.
• Fast-track career growth opportunities.