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Urgent! VML - Data Engineer - Python/BigQuery Job Opening In Mumbai – Now Hiring VML Enterprise Solutions

VML Data Engineer Python/BigQuery



Job description

<p><p><b>Description : </b><br/><br/>The Role : Data Engineer<br/><br/>VML is looking for a passionate and skilled Data Engineer to join our dynamic team in Mumbai.<br/><br/>You will be instrumental in building, optimizing, and maintaining our data infrastructure and pipelines, ensuring data is accurate, accessible, and ready for advanced analytics and client solutions.<br/><br/>This role is a great opportunity for a professional who thrives in a fast-paced environment and is eager to leverage cutting-edge cloud technology.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design and Development : Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT data pipelines to ingest data from various sources into our data warehouse.<br/><br/>- Cloud Engineering : Implement and manage data solutions utilizing core Google Cloud Platform (GCP) services, including BigQuery for warehousing, and Cloud Run/Scheduler for orchestration and execution.<br/><br/>- Data Modeling & Transformation : Apply proficiency in SQL and tools like dbt (data build tool) to perform complex data manipulation, transformation, and implement dimensional and relational data models.<br/><br/>- Code & Infrastructure : Write high-quality, maintainable, and well-documented code primarily in Python.<br/><br/>Apply infrastructure-as-code principles to manage and provision cloud resources.<br/><br/>- Collaboration : Work closely with data scientists, analysts, and cross-functional teams to understand data requirements and deliver effective solutions that support business intelligence and client-facing products.<br/><br/>- Quality & Governance : Ensure data quality, reliability, and security across all data systems.<br/><br/>- Implement version control best practices using Git.<br/><br/>- Optimization : Continuously monitor and optimize data pipeline performance, data storage, and resource utilization for cost-effectiveness and speed.<br/><br/><b>Essential Skills & Experience (Must Have) : </b><br/><br/>- Experience : 13 years of professional experience in data engineering or a similar highly technical role.<br/><br/>- Cloud Expertise : Hands-on, practical experience with core Google Cloud Platform (GCP) services, specifically BigQuery, Cloud Run, and Cloud Scheduler.<br/><br/>- Programming : Strong programming skills in Python.<br/><br/>- Database & Modeling : Proficiency in SQL for complex data manipulation and analysis, along with a solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling.<br/><br/>- Transformation : Experience with dbt (data build tool) for data transformation workflows.<br/><br/>- DevOps Principles : Familiarity with infrastructure-as-code principles.<br/><br/>- Tools : Experience with version control systems (e.g., Git).<br/><br/>- Soft Skills : Excellent problem-solving skills, attention to detail, and a proactive attitude.<br/><br/>- Work Style : Proven ability to work independently and as part of a team in a demanding, fast-paced environment.<br/><br/><b>Preferred Additional Skills (Nice to Have) : </b><br/><br/>- IaC Tooling : Experience with Terraform for provisioning and managing infrastructure-as-code.<br/><br/>- Integration : Experience with API Development for data ingestion or exposure.<br/><br/>- Streaming : Knowledge of streaming data processing concepts and technologies (e.g., Kafka, Pub/Sub).<br/><br/>- Automation : Familiarity with CI/CD pipelines for automated deployment.<br/><br/>- Certifications : Relevant GCP certifications (e.g., Google Cloud Certified - Professional Data Engineer)</p><br/></p> (ref:hirist.tech)


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