About this role

In person interview required

Experience- 8+ years

Need Senior Data Engineers with strong Scala, Spark, SQL, and modern data platform experience.

About the Role

We are looking for a highly motivated Senior Data Engineer with 5+ years of experience in building scalable data solutions. This role offers the opportunity to influence architecture, shape modern data platforms, and enable data-driven insights across the organization. You will work closely with cross-functional teams to design, develop, and maintain high-performance data pipelines and platforms.

Required Skills

Scala
Spark
SQL
Data Lakes
Data Pipelines
Data Structures
Data Intelligence

Nice to Have

Python (PySpark)
Machine Learning

Key Responsibilities

Design and build scalable data pipelines using Scala, Spark, and SQL.
Develop core components of modern data platforms.
Collaborate with data analysts, data scientists, and product teams to understand data requirements.
Ensure data quality, consistency, and availability for analytics and reporting.
Monitor and optimize data workflows for performance and reliability.
Contribute to system architecture and cloud-native platform design.
Evaluate and adopt modern data intelligence tools and practices.

Requirements

Strong hands-on experience with Scala and large-scale data processing.
Deep expertise in SQL and data transformation.
Proven experience in data engineering and pipeline development.
Experience with distributed systems and cloud platforms (AWS, Azure, or Google Cloud Platform).
Strong understanding of data modeling, warehousing, and governance.
Ability to thrive in a collaborative Agile environment.

Preferred Qualifications

Experience with Python for scripting, analytics, or ML use cases.
Exposure to ML pipelines or MLOps.
Familiarity with data intelligence and data cataloging tools.

Senior Data Engineer

Key skills

About this role