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Specialist, Data Engineering
2-4 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Specialist, Data Engineering
Brainlabs
posted 1mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Data Pipeline Development:
- Design, develop, and maintain ETL/ELT pipelines using GCP tools like CloudFunctions, CloudRun, Dataflow, Dataproc, or Cloud Data Fusion.
- Ensure data pipelines are scalable, efficient, and optimised for performance.
- Data Integration and Storage:
- Integrate data from various sources into GCP services such as BigQuery, Cloud Storage, and Cloud SQL.
- Design and implement data warehouse/mart solutions using BigQuery for analytics and reporting.
- Data Transformation & Optimization:
- Build transformation logic using SQL, Python, or Spark for preparing clean and structured data.
- Optimise query performance and storage cost in BigQuery or other GCP storage systems.
- Data Quality & Monitoring:
- Develop processes to ensure data quality, integrity, and consistency across the pipeline.
- Implement monitoring and logging systems using tools like Stackdriver or Looker.
- Collaboration & Communication:
- Work closely with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand requirements.
- Provide technical guidance on GCP best practices and tools.
- Documentation & Maintenance:
- Maintain clear documentation of processes, workflows, and data architecture.
- Ensure regular maintenance and version control of pipelines and scripts.
1. Mandatory Skills:
-
- Hands-on experience with GCP services like CloudFunctions, CloudRun, Schedular, BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Strong programming skills in Python, SQL.
- Knowledge of data modelling, schema design, and query optimization techniques.
- Experience in building batch and streaming data pipelines.
2.Preferred Skills:
-
- Familiarity with orchestration tools like Apache Airflow, Cloud Composer, or similar.
- Working experience on other cloud stack for ETL(AWS or Azure) is a plus
- Exposure to GCP s AI/ML tools (e.g., AI Platform, AutoML) is a plus.
- Knowledge of CI/CD practices and tools like Git, Jenkins, or Terraform for pipeline deployments
- Understanding of data security, governance, and compliance practices on GCP.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced and dynamic environment.
- Bachelor s degree in Computer Science, Engineering
- GCP Data Engineer or Associate Cloud Engineer certification (preferred but not mandatory).
Employment Type: Full Time, Permanent
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Data Engineer salary at Brainlabs
reported by
5
employees
with 2-3
years exp.
₹7.5
L/yr - ₹16
L/yr
12%
more
than the average Data Engineer Salary in India
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What Brainlabs employees are saying about work life
based on 18 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Brainlabs Benefits
Submitted by Company
Training Opportunities Free Lunches Academy Programs
Submitted by Employees
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