Senior Data Engineer

Vrinda International; Thane, Mumbai; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Vrinda International is seeking an experienced Senior Data Engineer to join our IT Services team. You will design, build, and maintain robust data infrastructure to support analytics and business intelligence initiatives.

The role emphasizes scalable data models, data quality, and efficient ETL processes, with hands-on work in Databricks, PySpark, Spark SQL, and modern workflow tools. You will collaborate across teams and drive data governance while ensuring production-grade reliability through

Qualifications

• 5–7 years of data engineering experience in IT services.
• Strong data modeling and architecture fundamentals.
• Hands-on data validation and data quality practices.
• Experience with error handling and logging in production.
• Proficient in orchestrating workflows with Airflow, Tidal, or Control-M.
• Proficient with Git versioning and CI/CD pipelines.
• Hands-on with Databricks, PySpark, Spark SQL.

Responsibilities

• Design scalable data models and architectures to support enterprise needs.
• Establish data validation protocols to ensure data quality.
• Develop error handling and logging frameworks for pipeline health.
• Orchestrate data workflows with Airflow, Tidal, or Control-M.
• Manage version control and CI/CD deployment processes.
• Build and optimize ETL processes for data movement.
• Utilize Databricks, PySpark, and Spark SQL for large datasets.

Skills

Data Modeling

Data Architecture

Data Validation

Data Quality

Error Handling

Logging

ETL

Git

CI/CD

Apache Airflow

Tools

Apache Airflow

Tidal

Control-M

Git

CI/CD

Databricks

PySpark

Spark SQL

Job description

Hybrid – Thane / Goregaon, Mumbai, India | Posted on 10/13/2026

About Us

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Job Description

Summary

We are seeking an experienced Senior Data Engineer to join our IT Services team, where you will play a pivotal role in designing, building, and maintaining robust data infrastructure. This position is critical for ensuring the integrity, efficiency, and scalability of our data ecosystems, enabling advanced analytics and business intelligence initiatives. The ideal candidate will leverage their deep expertise in data architecture and engineering to drive high-quality data solutions that support organizational goals.

Responsibilities

• Design and implement scalable data models and comprehensive data architectures to support enterprise needs.
• Establish and enforce rigorous data validation protocols to ensure high data quality and accuracy across all systems.
• Develop sophisticated error handling mechanisms and logging frameworks to monitor pipeline health and troubleshoot issues efficiently.
• Orchestrate complex data workflows and scheduling using tools such as Apache Airflow, Tidal, or Control-M.
• Manage version control and automate deployment processes through Git and continuous integration/continuous deployment (CI/CD) pipelines.
• Build and optimize Extract, Transform, Load (ETL) processes to facilitate seamless data movement and transformation.
• Utilize Databricks, PySpark, and Spark SQL to process large-scale datasets and perform advanced data engineering tasks.

Requirements

Requirements:

• Possess 5 to 7 years of professional experience in data engineering roles within the IT Services sector.
• Demonstrate strong proficiency in Data Modeling and Data Architecture principles.
• Show proven expertise in Data Validation and Data Quality assurance methodologies.
• Have hands-on experience with Error Handling and Logging strategies in production environments.
• Be skilled in orchestrating workflows using Apache Airflow, Tidal, or Control-M.
• Display competency in using Git for version control and managing CI/CD pipelines.
• Maintain a solid background in Data Engineering and ETL development.
• Possess practical experience with Databricks, PySpark, and Spark SQL technologies.