Job Description
Join our data-driven team! We are seeking a highly skilled and passionate Data Engineer with expertise in Google Cloud Platform to join our growing team in Bengaluru.
Key Responsibilities:
Design, develop, and maintain data pipelines and data warehouses.
Leverage GCP services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
Extract, transform, and load (ETL) data from various sources.
Build and optimize data pipelines for high-volume data processing.
Collaborate with data scientists, analysts, and engineers.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering.
Hands-on experience with Google Cloud Platform (GCP) services.
Strong programming skills in Python, SQL, or Java.
Required Skills:
Expertise in ETL development, data modeling, and data warehousing.
Experience with Apache Beam, Apache Airflow, or Spark.
Proficiency in writing complex SQL queries and optimizing database performance.
Preferred Qualifications:
Experience with Terraform, Kubernetes, or Docker.
Understanding of data security, compliance, and governance.
Experience with streaming data architectures.
Google Cloud Professional Data Engineer certification.
Experience with machine learning pipelines and MLOps.
Knowledge of NoSQL databases (Firestore, Bigtable, or MongoDB).
Experience with BI tools like Looker, Tableau, or Power BI.Join our data-driven team! We are seeking a highly skilled and passionate Data Engineer with expertise in Google Cloud Platform to join our growing team in Bengaluru.
Key Responsibilities:
Design, develop, and maintain data pipelines and data warehouses.
Leverage GCP services like BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
Extract, transform, and load (ETL) data from various sources.
Build and optimize data pipelines for high-volume data processing.
Collaborate with data scientists, analysts, and engineers.
Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field.
3+ years of experience in data engineering.
Hands-on experience with Google Cloud Platform (GCP) services.
Strong programming skills in Python, SQL, or Java.
Required Skills:
Expertise in ETL development, data modeling, and data warehousing.
Experience with Apache Beam, Apache Airflow, or Spark.
Proficiency in writing complex SQL queries and optimizing database performance.
Preferred Qualifications:
Experience with Terraform, Kubernetes, or Docker.
Understanding of data security, compliance, and governance.
Experience with streaming data architectures.
Google Cloud Professional Data Engineer certification.
Experience with machine learning pipelines and MLOps.
Knowledge of NoSQL databases (Firestore, Bigtable, or MongoDB).
Experience with BI tools like Looker, Tableau, or Power BI.