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GreatHR Solutions · Chennai, Tamil Nadu, India

Data Engineer (GCP)

Hybridseniorfull timePosted yesterday
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Stack mentioned

gcpbigqueryapache-airflowpythonsqletljavadata-engineeringdata-warehousingdata-governance

Data Engineer (GCP)

Skills: GCP, BigQuery, Dataflow, Airflow, Python, SQL

Experience: 6+ years

Notice Period: Immediate

Location: Chennai, Coimbatore, Bangalore, Pune (Hybrid)

Interview Process: 3 rounds of interviews

1st round: Virtual

2nd round: In-person

3rd round: Client discussion, In-person

Role Overview:

we are looking for a highly skilled GCP Data Engineer with strong expertise in building scalable and efficient data solutions on Google Cloud Platform. The ideal candidate should have hands-on experience in developing robust ETL pipelines, working with BigQuery, and implementing enterprise-grade data warehousing solutions.

Key Responsibilities:

· Design, develop, and maintain scalable ETL pipelines on Google Cloud Platform (GCP)

· Develop and optimize data processing workflows using Cloud Dataflow (Java)

· Build and manage large-scale datasets using BigQuery

· Implement efficient and reliable data warehousing solutions

· Perform data ingestion, transformation, and validation for structured and unstructured data

· Optimize data pipelines for performance, scalability, and cost-efficiency

· Collaborate with cross-functional teams to understand data requirements and deliver solutions

· Ensure data quality, integrity, and governance across all data processes

· Troubleshoot and resolve data-related concerns in a timely manner

Required Skills and Experience:

· Strong hands-on experience in Google Cloud Platform (GCP)

· Expertise in Cloud Dataflow with Java

· Strong experience in BigQuery for large-scale data processing

· Solid understanding of ETL concepts and pipeline development

· Hands-on experience in Data Warehousing concepts and implementation

· Experience in performance tuning and optimization of data pipelines

· Strong problem-solving and analytical skills

· Ability to work in a fast-paced, collaborative environment

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