ASascendion
Data Scientist
Bangalore Posted 31 Oct 2026
FULL TIME
snowflake
Docker
Apache Spark
Kubernetes
Terraform
+12 more
Job Description
Job Description: GCP Data Engineer - Offshore
Overview
We are seeking an experienced GCP Data Engineer to join our data engineering delivery team. In this position, you will design, develop, and support scalable, cloud-native data platforms, pipelines, and data warehouses on the Google Cloud Platform (GCP). You will collaborate with cross-functional teams, data analysts, and business stakeholders to deliver reliable data solutions that meet global business needs.
Key Responsibilities
Data Pipeline Development: Create, implement, and improve robust end-to-end data pipelines for ingestion, transformation, and storage using GCP services and modern ETL/ELT frameworks.
Data Warehousing & Modeling: Build and enhance datasets, tables, views, and advanced queries within cloud data warehouses, including Google BigQuery, Snowflake, or Databricks.
Performance & Scalability Tuning: Continuously monitor, diagnose, and optimize data pipelines and queries to achieve high performance, low latency, and cost-effective execution.
Infrastructure & Orchestration: Oversee data workflow orchestration and infrastructure using Apache Airflow / Cloud Composer, Terraform, Docker, and Kubernetes.
Data Quality & Governance: Deploy data validation routines, monitoring capabilities, automated alerting, and security controls to maintain data integrity and ensure compliance.
Collaboration: Work with data scientists, analysts, and DevOps teams to securely and consistently integrate data systems into production environments.
Required Skills & Qualifications
Core Cloud Platform: Demonstrated hands-on experience designing and operating solutions on Google Cloud Platform (GCP) (BigQuery, Dataflow, Cloud Storage, Dataproc, Cloud Composer).
Data Warehouses & Databases: Proven expertise in Cloud Data Warehouses (Google BigQuery, Snowflake, AWS Redshift) and working knowledge of NoSQL/relational database technologies.
ETL & Processing Frameworks: Experience with ETL and data processing frameworks such as Apache Spark, PySpark, dbt, Fivetran, or Informatica.
Programming & Querying: Strong proficiency in SQL and programming languages including Python or Java for data transformation and manipulation.
DevOps & Containers: Familiarity with containerization and orchestration solutions (Docker, Kubernetes/GKE) and Infrastructure-as-Code tools such as Terraform.
Experience: 6+ years of total relevant experience across software development, database development, or big data engineering roles.
Overview
We are seeking an experienced GCP Data Engineer to join our data engineering delivery team. In this position, you will design, develop, and support scalable, cloud-native data platforms, pipelines, and data warehouses on the Google Cloud Platform (GCP). You will collaborate with cross-functional teams, data analysts, and business stakeholders to deliver reliable data solutions that meet global business needs.
Key Responsibilities
Data Pipeline Development: Create, implement, and improve robust end-to-end data pipelines for ingestion, transformation, and storage using GCP services and modern ETL/ELT frameworks.
Data Warehousing & Modeling: Build and enhance datasets, tables, views, and advanced queries within cloud data warehouses, including Google BigQuery, Snowflake, or Databricks.
Performance & Scalability Tuning: Continuously monitor, diagnose, and optimize data pipelines and queries to achieve high performance, low latency, and cost-effective execution.
Infrastructure & Orchestration: Oversee data workflow orchestration and infrastructure using Apache Airflow / Cloud Composer, Terraform, Docker, and Kubernetes.
Data Quality & Governance: Deploy data validation routines, monitoring capabilities, automated alerting, and security controls to maintain data integrity and ensure compliance.
Collaboration: Work with data scientists, analysts, and DevOps teams to securely and consistently integrate data systems into production environments.
Required Skills & Qualifications
Core Cloud Platform: Demonstrated hands-on experience designing and operating solutions on Google Cloud Platform (GCP) (BigQuery, Dataflow, Cloud Storage, Dataproc, Cloud Composer).
Data Warehouses & Databases: Proven expertise in Cloud Data Warehouses (Google BigQuery, Snowflake, AWS Redshift) and working knowledge of NoSQL/relational database technologies.
ETL & Processing Frameworks: Experience with ETL and data processing frameworks such as Apache Spark, PySpark, dbt, Fivetran, or Informatica.
Programming & Querying: Strong proficiency in SQL and programming languages including Python or Java for data transformation and manipulation.
DevOps & Containers: Familiarity with containerization and orchestration solutions (Docker, Kubernetes/GKE) and Infrastructure-as-Code tools such as Terraform.
Experience: 6+ years of total relevant experience across software development, database development, or big data engineering roles.
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