DTICI_Snowflake_Data_engineer_T8
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Key skills for this role
Key Skills for This Role
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Tasks
Design, develop, and maintain scalable data pipelines using Snowflake and other cloud-based tools.
Implement data ingestion, transformation, and integration processes from various sources (e.g., APIs, flat files, databases).
Optimize Snowflake performance through clustering, partitioning, and query tuning.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Ensure data quality, integrity, and security across all data pipelines and storage.
Develop and maintain documentation related to data architecture, processes, and best practices.
Monitor and troubleshoot data pipeline issues and ensure timely resolution.
Working experience with tools like medallion architecture, Matillion, DBT models, SNP Glu are highly recommended
Data Modelling experience and exposure to Medallion architecture
Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
4-5 years of experience in data engineering or a similar role.
Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
Proficiency in SQL and experience with scripting languages like Python or Shell .
Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend .
Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
Understanding of data warehousing concepts and best practices.
Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
An active team member, willing to go the miles and bring innovation at work
Attractive compensation package
Company pension plan
Remote working
Flexible working models, that adapt to individual life phases
Health offers
Individual development opportunities through our own Learning Academy as well as free access to LinkedIn Learning
+ two individual benefits
Qualifications
- Bachelor’s degree/Master's degree in Computer Science, Information Systems, or a related field.
- 4-5 years of experience in data engineering or a similar role.
- Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
- Proficiency in SQL and experience with scripting languages like Python or Shell .
- Experience with ETL/ELT tools such as dbt , Apache Airflow , Informatica , or Talend .
- Familiarity with cloud platforms (AWS, Azure, or GCP) and services like S3, Lambda, or Data Factory.
- Understanding of data warehousing concepts and best practices.
- Candidate should have excellent communication skills, willing to reskill, adopt and build strong stakeholder relationship
- An active team member, willing to go the miles and bring innovation at work
Our company culture
Job number: 5405
Job number:
Publication period: 11/13/2025 - 12/31/2030
Publication period:
Location: Bangalore
Location:
- Organization: Daimler Truck Innovation Center India Private Limited
Organization:
Job Category: Finance/Controlling
Job Category:
Working hours: Full time
Benefits
- Barrier-free workplace
- Inhouse Doctor
- Good public transport
- Canteen-Cafeteria
- Parking
- To Location: Bengaluru, Daimler Truck Innovation Center India Private Limited
About Daimler Truck Innovation Center India Private Limited
Verified company details for this employer are not available yet.
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