Data Engineer designing and implementing scalable data architecture for HR and people analytics. Collaborating with teams to ensure reliable data pipelines and integration using modern technologies.
About the role
- 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.
Responsibilities
- 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
- 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
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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