Sr Data Engineer Job in Vconstruct Private Limited

Position: Senior Data Engineer

Location: Pune

Employment Type: Full-Time

Company: vConstruct (Construction Technology Company)

About vConstruct

vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis.

Role Overview

We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives.

Key Responsibilities

• Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices.
• Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources.
• Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling.
• Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs.
• Ensure optimal pipeline performance, throughput, and proactive issue resolution.
• Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards.
• Enforce best practices in source control, code reviews, testing automation, and continuous delivery.
• Lead root cause analysis and preventive maintenance to minimize business impact from data failures.
• Establish standards for data modeling, transformation logic, and governance.
• Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience.
• Optimize pipeline and query performance for scalability, reliability, and cost-efficiency.
• Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs.
• Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy.

Qualifications

• 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms.
• 5+ years of scripting experience in Python for data processing, automation, and ETL development.
• 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL.
• 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion.
• 5+ years writing complex, optimized SQL queries on large datasets.
• Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition.
• Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow.
• Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git).
• Familiarity with dbt or similar transformation tools and modular development practices.
• Experience with data visualization tools like Power BI is a plus.
• Strong interpersonal and communication skills to lead cross-functional technical discussions.

Education

Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered.