Data Engineer

Assembly Global

Data Engineer with 5-7 years of experience required to build ETL pipelines at Assembly. Role involves collaboration and optimization of data solutions in a dynamic environment.

Posted 7/24/2026full-timeBengaluru • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL pipelines using PySpark and Databricks, with a strong focus on performance optimization and data quality. Collaborates effectively with cross-functional teams to deliver high-quality data solutions while troubleshooting and resolving data processing issues.

Highest-signal resume keywords

PySpark ProficiencyDatabricks ExperienceETL Process UnderstandingData Pipeline OptimizationData Quality Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL Pipeline DesignData TransformationPerformance OptimizationData ProcessingData Workflows

Soft Skills

CommunicationProblem-Solving

Tools & Technologies

DatabricksPySpark

Industry Keywords

Data EngineeringData GovernanceData Quality

Tech Stack

Tools & technologies

ETLPySpark

About the role

Key responsibilities & impact

Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Work extensively with PySpark (intermediate to advanced) and Databricks to implement transformations and data workflows.
Optimize data pipelines for performance, scalability, and cost-efficiency.
Collaborate with cross-functional teams to understand requirements and deliver high-quality data solutions.
Troubleshoot, debug, and resolve data processing and pipeline issues.
Implement best practices for data quality, governance, and performance tuning.

Requirements

What you’ll need

5–7 years of experience in data engineering.
Strong proficiency in PySpark (intermediate to advanced).
Hands-on experience with Databricks.
Strong understanding of ETL processes and data transformations.
Experience with performance optimization in data pipelines.
Excellent communication and problem-solving skills.

Benefits

Comp & perks

Annual Leave in number of 15 allotted to all employees beginning of every calendar year.
Sick Leave in number of 12 is allotted effective DOJ and beginning of ever calendar year.
Other Leaves-Maternity Leave & Paternity Leaves, Birthday Leave Entitlement
Dedicated L&D Budget for all Teams to upskill & get certified
All employees are entitled for Group Personal Accident Cover & Life Cover Insurance.
Insurance coverage for the entire family (Employee + up to 7 dependents - Self, Spouse, up to 4 children, and Parents)
Monthly Cross Team Lunch
Rewards and Recognition program-Employee of the month, Star Performer, Tenure Celebration & many more