Offer summary

Qualifications:

Strong proficiency in Python for scripting and data processing., Experience with BigQuery, SQL query optimization, and handling large datasets., Hands-on experience with Google Cloud Platform services such as BigQuery, Cloud Storage, and IAM., Knowledge of data pipeline development, version control, and CI/CD workflows..

Key responsibilities:

Design and develop scalable data pipelines using Python on GCP.

Write and optimize SQL queries for BigQuery data processing.

Automate ETL/ELT workflows and monitor data pipelines using GCP tools.

Collaborate with cross-functional teams to ensure data quality and performance.

Job description

Company Name :
Job Title :	Python with Big query
Qualification :	Any graduation
Experience :	6 to 8 years
Must Have Skills :	Python Proficiency Strong knowledge of Python for scripting, data processing, and automation. BigQuery Expertise Writing optimized SQL queries, handling large datasets, and familiarity with BigQuery performance tuning. Google Cloud Platform (GCP) Hands-on experience with GCP services, especially BigQuery, Cloud Storage, IAM, and Cloud Functions. Data Pipeline Development Building and maintaining ETL/ELT workflows using Python and orchestration tools (e.g., Cloud Composer/Airflow). Version Control and CI/CD Experience with Git, DevOps workflows, and deploying code/data pipelines in a cloud environment.
Good to Have Skills :	Data Modeling and Warehousing Concepts Experience in schema design, star/snowflake schema, and dimensional modeling. Google Cloud SDK / BigQuery API Experience with BigQuery client libraries and programmatic data handling using APIs. Airflow / Cloud Composer Experience scheduling and monitoring workflows using Airflow on GCP. Monitoring and Logging Using tools like Stackdriver for alerting and performance monitoring. Cloud Security & Cost Optimization Understanding of GCP IAM roles, data encryption, and cost-effective data handling in BigQuery.
Roles and Responsibilities :	Design, develop, and maintain scalable data pipelines using Python on Google Cloud Platform. Write complex and optimized SQL queries to process data in BigQuery. Automate data extraction, transformation, and loading (ETL/ELT) workflows. Collaborate with data scientists, analysts, and product teams to define data needs and implement solutions. Monitor and troubleshoot data pipelines using GCP-native tools. Implement data validation, testing, and version control using CI/CD pipelines. Ensure data governance, quality, and compliance across systems. Optimize BigQuery storage and query performance for cost efficiency.
Location :	Bangalore
CTC Range :	25 lpa
Notice period :	Immediate joiners
Shift Timings :
Mode of Interview :	virtual
Mode of Work :
Mode of Hire :
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