Senior Data Engineer

Assembly Global

Senior Data Engineer at Assembly working on data integration, transformation, and analytics collaboration. Handling cloud services and data quality across data projects with cross-functional teams.

Posted 4/13/2026full-timeBengaluru • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformMySQLPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Develop and manage ETL processes to support data integration and transformation.
Optimize data storage solutions for enhanced performance and scalability.
Ensure high data quality and integrity across all data projects.
Collaborate with cross-functional teams to define data requirements and support analytics initiatives.
Implement cloud services to streamline data management and accessibility.
Enhance existing data pipelines to improve efficiency and reliability.
Document processes and maintain comprehensive data architecture records
Implement data visualization solutions as required by stakeholders.
Perform data modeling and schema design to support reporting needs.
Monitor data quality and ensure data integrity across platforms.
Optimize SQL queries for performance improvements.
Develop ETL processes to integrate data from various sources into BigQuery .
Maintain and troubleshoot existing data infrastructure.
Evaluate new GCP services and tools for data engineering solutions.

Requirements

What you’ll need

Proficient in MySQL and SQL for database management.
Strong experience in Python programming & PySpark for data processing.
Data Engineering experience using GCP ( BigQuery , DataProc , Cloud Composer)
Expertise in developing and optimizing ETL processes.
Comprehensive understanding of data warehousing concepts.
Strong written and verbal communication skills, with attention to detail.
Experience with data pipeline construction and management.
Familiarity with cloud services for data storage and processing.
Experience with Data Visualization tools like Tableau, Power Bi, Looker.

Benefits

Comp & perks

Annual Leave in number of 20 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETL processesdata integrationdata transformationdata modelingschema designSQLMySQLPythonPySparkdata warehousing

Soft Skills

communication skillsattention to detail