Data Specialist - R01569531

Brillio
Bengaluru, Hyderabad
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 6+ yearsSkills: ["Data modeling","Data governance","Data quality","Performance optimization","Cross-functional collaboration"]

Design and build scalable ETL/ELT data pipelines on Google Cloud. Develop cloud data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Python/PySpark/SQL. Own data ingestion, transformation, cleansing, validation, and data modeling/warehouse design, covering both batch and real-time processing. Ensure data quality, security, monitoring, and governance, optimize for cost and performance, and partner with data scientists, architects, analysts, and stakeholders across cloud migration and modernization.

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Brillio
Brillio
3 weeks ago

Data Specialist - R01569531

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Job Summary

Design and build scalable ETL/ELT data pipelines on Google Cloud. Develop cloud data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub, and Python/PySpark/SQL. Own data ingestion, transformation, cleansing, validation, and data modeling/warehouse design, covering both batch and real-time processing. Ensure data quality, security, monitoring, and governance, optimize for cost and performance, and partner with data scientists, architects, analysts, and stakeholders across cloud migration and modernization.
Location: Bengaluru, Hyderabad
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design and develop scalable ETL/ELT data pipelines on GCP.
  • •Build and optimize data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
  • •Develop data processing applications using Python, PySpark, and SQL.
  • •Perform data ingestion, transformation, cleansing, and validation, including batch and real-time pipelines.
  • •Implement data quality, security, monitoring, and governance practices and collaborate with data scientists, architects, analysts, and business stakeholders.

Key Requirements

  • •6+ years of hands-on GCP data engineering experience designing scalable data pipelines and cloud-based data solutions.
  • •Strong expertise with BigQuery, Dataflow, and Dataproc for building and optimizing data platforms.
  • •Proficiency in Python, PySpark, and SQL for data processing applications.
  • •Good knowledge of data warehousing and ETL processes, including data modeling and warehouse solution design in BigQuery.
  • •Experience with data ingestion, transformation, cleansing, validation, and implementing data quality, security, monitoring, and governance practices.
Experience:6+ yearsGCP data engineeringETL/ELTData warehousingCloud migration
Skills:Data modelingData governanceData qualityPerformance optimizationCross-functional collaboration
Tech Stack:GCPGoogle Cloud PlatformBigQueryDataflowDataprocCloud StoragePub/SubPythonPySparkSQL

Company Brief

Brillio
Provides digital transformation and IT consulting services, including cloud migration, analytics, digital engineering, and managed services to accelerate business outcomes for enterprises across industries.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Private Equity Backed
Headquarters: Santa Clara, United States
Founded: 2014
WebsiteLinkedIn