Padmi

Data Engineers (GCP)

IndiaPosted 2 months ago
Infrastructure And DatabasesMid-levelFull Time; Regular
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As a Data Engineer (GCP) at our Bangalore office, you will be responsible for designing and developing enterprise data solutions on the Google Cloud Platform (GCP). Your expertise in Data Engineering/DW projects with GCP-based solutions will be crucial for this role. Key Responsibilities: - Design and develop data solutions on GCP using native or third-party data technologies. - Work with relational and NoSQL databases such as Oracle, Spanner, and BigQuery. - Utilize expert-level SQL skills for data manipulation, validation, and management. - Develop data modeling, data warehousing, data lakes, and analytics platforms on GCP. - Design ETL data pipelines and data processing architectures for Datawarehouse. - Collaborate with data scientists and engineering teams to analyze data and build data models. - Integrate datasets from multiple sources for analytical and AI/ML models. - Own the production deployment of code and ensure seamless operations. - Utilize technologies like Pub/Sub, Kafka, Kubernetes, GCP, AWS, Hive, and Docker for data engineering projects. - Implement Java spring boot, Python, or other programming languages for integration projects. Qualifications Required: - Strong expertise in GCP, BigQuery, Dataflow, Java, Composer, VertexAI, and optional Python. - Experience in designing Star & Snowflake Schemas and Dimensional Data Modeling. - Familiarity with AI/ML exposure, MLOPS, and Vertex AI. - Knowledge of DevOps practices like CICD pipeline. - Excellent communication skills and the ability to work in a team environment. - GCP Cloud Data Engineer Professional certification is a plus. Note: Immediate joiners are preferred for this position. Airline domain experience would be an added advantage. This job requires someone who is not only technically proficient with GCP-based data solutions but also a strong team player with excellent communication skills. If you meet the qualifications and are ready to take on this exciting role, we look forward to receiving your application. As a Data Engineer (GCP) at our Bangalore office, you will be responsible for designing and developing enterprise data solutions on the Google Cloud Platform (GCP). Your expertise in Data Engineering/DW projects with GCP-based solutions will be crucial for this role. Key Responsibilities: - Design and develop data solutions on GCP using native or third-party data technologies. - Work with relational and NoSQL databases such as Oracle, Spanner, and BigQuery. - Utilize expert-level SQL skills for data manipulation, validation, and management. - Develop data modeling, data warehousing, data lakes, and analytics platforms on GCP. - Design ETL data pipelines and data processing architectures for Datawarehouse. - Collaborate with data scientists and engineering teams to analyze data and build data models. - Integrate datasets from multiple sources for analytical and AI/ML models. - Own the production deployment of code and ensure seamless operations. - Utilize technologies like Pub/Sub, Kafka, Kubernetes, GCP, AWS, Hive, and Docker for data engineering projects. - Implement Java spring boot, Python, or other programming languages for integration projects. Qualifications Required: - Strong expertise in GCP, BigQuery, Dataflow, Java, Composer, VertexAI, and optional Python. - Experience in designing Star & Snowflake Schemas and Dimensional Data Modeling. - Familiarity with AI/ML exposure, MLOPS, and Vertex AI. - Knowledge of DevOps practices like CICD pipeline. - Excellent communication skills and the ability to work in a team environment. - GCP Cloud Data Engineer Professional certification is a plus. Note: Immediate joiners are preferred for this position. Airline domain experience would be an added advantage. This job requires someone who is not only technically proficient with GCP-based data solutions but also a strong team player with excellent communication skills. If you meet the qualifications and are ready to take on this exciting role, we look forward to receiving your application.

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