Sr Data Engineer_vConstruct_subsidiary of US based MNC

Vconstruct; Nagpur District, Pune District; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

vConstruct, Pune-based Construction Technology company, seeks a Senior Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. You will collaborate with analytics and business teams to enable trusted insights and data‑driven decisions.

Lead end‑to‑end integration, ensure data quality, implement CI/CD data workflows, and advocate best practices in data modeling, testing, and governance to support operational efficiency.

Qualifications

• 6–8 years in data engineering building scalable data platforms.
• 5+ years Python for data processing, automation and ETL development.
• 4+ years of Snowflake, including performance tuning and SQL development.
• 5+ years with data integration tools such as Azure Data Factory, Fivetran, or Matillion.
• 5+ years of writing complex SQL queries on large datasets.
• Experience integrating APIs, JSON, XML, and webhooks for data acquisition.
• Hands-on experience with Azure/AWS and orchestration tools like Apache Airflow.
• Experience with CI/CD pipelines, Git, and automated testing.
• Familiarity with dbt or similar transformation tools.
• Power BI exposure is a plus.
• Strong interpersonal and communication skills for stakeholder discussions.

Responsibilities

• Lead end‑to‑end design and development of scalable data pipelines and ETL/ELT frameworks.
• Architect complex data integration workflows across cloud and on‑premise sources.
• Build real‑time, batch, and on‑demand pipelines with observability and error handling.
• Partner with analysts, data scientists, and business leaders to define data models and SLAs.
• Ensure pipeline performance, throughput, and proactive data delivery monitoring.
• Collaborate with platform, DevOps, and architecture teams for CI/CD enabled workflows.
• Establish best practices in source control, testing automation, and code reviews.
• Lead RCA and preventive maintenance for critical data failures.
• Guide standards for data modeling, transformation logic, and governance.
• Design and execute testing strategies: unit, integration, system testing.
• Monitor and fine‑tune pipelines for reliability and cost efficiency.
• Create thorough technical documentation for stakeholders.
• Facilitate discussions to prioritize data initiatives and strategy.

Skills

Python

SQL

Data pipelines

Cloud platforms

CI/CD

Git

dbt

Power BI

Education

Bachelor's or Master's in CS/IT

Equivalent experience

Tools

Snowflake

Azure Data Factory

Fivetran

Matillion

Apache Airflow

Git

dbt

Power BI

Job description

vConstruct, a Pune-based Construction Technology company is seeking a Senior Data Engineer for its Data Science and Analytics team, a close-knit group of analysts and engineers supporting all data aspects of the business. You will be responsible for designing, developing, and maintaining our data infrastructure, ensuring data integrity, and supporting various data-driven projects. You will work closely with cross‑functional teams to integrate, process, and manage data from various sources, enabling business insights and enhancing operational efficiency.

Responsibilities

• Lead the end‑to‑end design and development of scalable, high‑performance data pipelines and ETL/ELT frameworks aligned with modern data engineering best practices.
• Architect complex data integration workflows that bring together structured, semi‑structured, and unstructured data from both cloud and on‑premise sources.
• Build robust real‑time, batch, and on‑demand pipelines with built‑in observabilitymonitoring, alerting, and automated error handling.
• Partner with analysts, data scientists, and business leaders to define and deliver reliable data models, quality frameworks, and SLAs that power key business insights.
• Ensure optimal pipeline performance and throughput, with clearly defined SLAs and proactive alerting for data delivery or quality issues.
• Collaborate with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD‑enabled data workflows that align with enterprise architecture standards.
• Establish and enforce the best practices in source control, code reviews, testing automation, and continuous delivery for all data engineering components.
• Lead root cause analysis (RCA) and preventive maintenance for critical data failures, ensuring minimal business impact and continuous service improvement.
• Guide the team in establishing standards for data modeling, transformation logic, and governance, ensuring long‑term maintainability and scalability.
• Design and execute comprehensive testing strategiesunit, integration, and system testingensuring high data reliability and pipeline resilience.
• Monitor and fine‑tune data pipeline and query performance, optimizing for reliability, scalability, and cost‑efficiency.
• Create and maintain detailed technical documentation, including data architecture diagrams, process flows, and integration specifications for internal and external stakeholders.
• Facilitate and lead discussions with business and operational teams to understand data requirements, prioritize initiatives, and drive data strategy forward.

Qualifications

• 6 to 8 years of hands‑on experience in data engineering roles with a proven record of building scalable and secure data platforms.
• Over 5 years of experience in scripting languages such as Python for data processing, automation, and ETL development.
• 4+ years of experience with Snowflake, including performance tuning, security model design, and advanced SQL development.
• 5+ years of experience with data integration tools such as Azure Data Factory, Fivetran, or Matillion.
• 5+ years of experience in writing complex, highly optimized SQL queries on large datasets.
• Proven experience integrating and managing APIs, JSON, XML, and webhooks for data acquisition.
• Hands‑on experience with cloud platforms (Azure/AWS) and orchestration tools like Apache Airflow or equivalent.
• Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git).
• Familiarity with dbt or similar transformation tools and best practices for modular transformation development.
• Exposure to data visualization tools like Power BI for supporting downstream analytics is a plus.
• Strong interpersonal and communication skills with the ability to lead discussions with technical and business stakeholders.

Education

Bachelors or Master’s degree in Computer Science/Information technology or related field.

Equivalent academic and work experience can be considered.

About vConstruct :

vConstruct specializes in providing high quality Building Information Modeling and Construction Technology services geared towards construction projects. vConstruct is a wholly owned subsidiary of DPR Construction. For more information, please visit www.vconstruct.com

About DPR Construction:

DPR Construction is a national commercial general contractor and construction manager specializing in technically challenging and sustainable projects for the advanced technology, biopharmaceutical, corporate office, and higher education and healthcare markets. With the purpose of building great things, great teams, great buildings, great relationships—DPR is a truly great company. For more information, please visit www.dpr.com