Role
| Data Engineering - Solution Architect |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
Location
| Chennai |
Experience
| 8 to 15 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| - As a Data Architect you will play a critical role in designing implementing and managing complex data engineering solutions.
- Define scalable architectures for ETL pipelines data lakes and data warehouses ensuring seamless data integration from various sources.
- Hands-on solution and implementation across cloud platforms (primarily AWS) building both batch and real-time data processing solutions.
- Collaboration will be key as you engage with product teams business analysts and stakeholders to translate requirements into robust data architectures.
- Contribute to platform development mentor junior engineers and drive architectural best practices.
- This role demands a mix of hands-on development solutioning and strategic thinking to support enterprise-grade cloud-native data solutions.
|
What should you bring along
| - A strong foundation in data architecture and engineering principles
- Experience leading data platform initiatives end-to-end (design to deployment)
- The ability to work both independently and as part of a cross-functional agile team
- A mentorship mindset with a passion for upskilling junior engineers
- Excellent communication and stakeholder management skills
- A continuous learning attitude and openness to new technologies
|
Must have technical skills
|
- Expertise in designing and managing ETL pipelines data lakes and data warehouses with knowledge on Bigdata framework & Pyspark.
- Strong data modelling skills (conceptual logical and physical)
- Proficiency with AWS cloud services (SaaS PaaS IaaS)
- Hands-on experience in real-time and batch data processing
- Knowledge of DevOps for data platforms (CI/CD pipelines monitoring infrastructure-as-code)
- Experience in managing secure scalable and high-performance data solutions
- Solid understanding of data integration from diverse sources
|
Good to have technical skills
|
- Exposure to data governance and data quality frameworks
- Experience with data analytics and visualization tools
- Familiarity with containerization and orchestration tools (e.g. Docker Kubernetes)
- Exposure to other cloud and data platforms Azure Data Bricks etc.
- Knowledge of modern data platforms (e.g. Databricks Snowflake)
- Understanding of ML/AI integration into data pipelines
- Agile delivery experience including breaking down work into epics and user stories
|
Required Experience:
Manager
RoleData Engineering - Solution ArchitectVisit our websiteto know more.Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates.LocationChennaiExperience8 to 15 yearsNumber of openings1What awaits you/ Job ProfileAs a Data Architect you will play a critical role in designing implementing an...
Role
| Data Engineering - Solution Architect |
Visit our websiteto know more. Follow us onLinkedInIInstagramIFacebookIXfor the exciting updates. |
Location
| Chennai |
Experience
| 8 to 15 years |
Number of openings
| 1 |
What awaits you/ Job Profile
| - As a Data Architect you will play a critical role in designing implementing and managing complex data engineering solutions.
- Define scalable architectures for ETL pipelines data lakes and data warehouses ensuring seamless data integration from various sources.
- Hands-on solution and implementation across cloud platforms (primarily AWS) building both batch and real-time data processing solutions.
- Collaboration will be key as you engage with product teams business analysts and stakeholders to translate requirements into robust data architectures.
- Contribute to platform development mentor junior engineers and drive architectural best practices.
- This role demands a mix of hands-on development solutioning and strategic thinking to support enterprise-grade cloud-native data solutions.
|
What should you bring along
| - A strong foundation in data architecture and engineering principles
- Experience leading data platform initiatives end-to-end (design to deployment)
- The ability to work both independently and as part of a cross-functional agile team
- A mentorship mindset with a passion for upskilling junior engineers
- Excellent communication and stakeholder management skills
- A continuous learning attitude and openness to new technologies
|
Must have technical skills
|
- Expertise in designing and managing ETL pipelines data lakes and data warehouses with knowledge on Bigdata framework & Pyspark.
- Strong data modelling skills (conceptual logical and physical)
- Proficiency with AWS cloud services (SaaS PaaS IaaS)
- Hands-on experience in real-time and batch data processing
- Knowledge of DevOps for data platforms (CI/CD pipelines monitoring infrastructure-as-code)
- Experience in managing secure scalable and high-performance data solutions
- Solid understanding of data integration from diverse sources
|
Good to have technical skills
|
- Exposure to data governance and data quality frameworks
- Experience with data analytics and visualization tools
- Familiarity with containerization and orchestration tools (e.g. Docker Kubernetes)
- Exposure to other cloud and data platforms Azure Data Bricks etc.
- Knowledge of modern data platforms (e.g. Databricks Snowflake)
- Understanding of ML/AI integration into data pipelines
- Agile delivery experience including breaking down work into epics and user stories
|
Required Experience:
Manager
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Posted on:
7 hours ago
Vacancies:
1 Vacancy
