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Vrinda International

Senior Data Engineer

Vrinda International Goregaon, Maharashtra, India · ₹600K–₹800K/yr

Human Resources Services · 11-50 employees

6 d ago
data-engineer Senior (5-10 yrs) Full-time India
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About the role

Design and implement scalable data models and architectures to support enterprise data needs. Orchestrate complex data workflows and manage ETL processes to ensure high data quality and system efficiency.

What they look for

Data Engineering Data Modeling Data Architecture Data Validation Data Quality Error Handling Logging Apache Airflow Tidal Control-M Git CI/CD ETL Development Databricks PySpark Spark SQL

Requirements

Requires 5 to 7 years of professional experience in data engineering within the IT services sector. Candidates must demonstrate proficiency in data modeling, ETL development, and modern data processing tools like Databricks and PySpark.

Full description

Senior Data Engineer

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.

Salary: ₹6 -8 LPA

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