Tech Lead - Data Engineering
Role Overview
This strategic role that -
• Responsible for leading technical direction and implementation of the software pipeline and observability platform
• Defines event management framework and lead its implementation
• Lead discussions with domain experts to extract the necessary information to codify the information flow
• Will work closely with leadership, architecture and vendors to deliver these services.
Expertise and Experience:
· Practical experience of 8 - 10 year developing data solutions.
· Strong understanding & experience of AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services (core accountability of the role).
· Strong understanding of implementing multiple Data Programs viz.
Data Lakehouse, Data Warehouse, Advanced Analytics, Master Data Management, Data Modelling, Analytics and Virtualization.
· 5-7 years of experience in established data technologies viz.
Data ingestion and emerging data technologies
· Depth in data management and data integration
· Hands on experience of various data services on AWS
· Skilled to lay out correct implementation strategy of event-driven data integration as per business needs
· Industry experience in defining & implementing solution using data integration technologies
· Experienced or conversant in emerging tools like parquet and iceberg, databases, and unstructured data.
Must understand them sufficiently to guide the organization in understanding and adopting them
· Good understanding of implementing & architecting data solutions using the informatica, SQL server/Oracle
Key Skills for This Role
Full Job Posting
Job purpose:
This strategic role that -
• Responsible for leading technical direction and implementation of the software pipeline and observability platform
• Defines event management framework and lead its implementation
• Lead discussions with domain experts to extract the necessary information to codify the information flow
• Will work closely with leadership, architecture and vendors to deliver these services.
Expertise and Experience:
· Practical experience of 8 - 10 year developing data solutions.
· Strong understanding & experience of AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services (core accountability of the role).
· Strong understanding of implementing multiple Data Programs viz. Data Lakehouse, Data Warehouse, Advanced Analytics, Master Data Management, Data Modelling, Analytics and Virtualization.
· 5-7 years of experience in established data technologies viz. Data ingestion and emerging data technologies
· Depth in data management and data integration
· Hands on experience of various data services on AWS
· Skilled to lay out correct implementation strategy of event-driven data integration as per business needs
· Industry experience in defining & implementing solution using data integration technologies
· Experienced or conversant in emerging tools like parquet and iceberg, databases, and unstructured data. Must understand them sufficiently to guide the organization in understanding and adopting them
· Good understanding of implementing & architecting data solutions using the informatica, SQL server/Oracle
Attitude/Behavior:
· Strong sense of ownership of design solution
· Advocate for the user’s perspective on the Agile team and promote the importance of design
· Embraces a culture of trust and complete transparency
· Open to learning new ideas outside scope or knowledge skillset
· Ability to identify innovative business solutions and implement
.Skills & Education:
· Strong communication skills with ability to work with business and Technology stakeholders
· Utilizes team collaboration to create innovative solutions efficiently
· Comfortable working with quick turnaround times and deadlines
· B.E/B.Tech/BCA/MCA from a reputed organization
Requirements
· Practical experience of 8 - 10 year developing data solutions.
· Strong understanding & experience of AWS core data services and data service design patterns, or a proven desire and ability to learn AWS services (core accountability of the role).
· Strong understanding of implementing multiple Data Programs viz. Data Lakehouse, Data Warehouse, Advanced Analytics, Master Data Management, Data Modelling, Analytics and Virtualization.
· 5-7 years of experience in established data technologies viz. Data ingestion and emerging data technologies
· Depth in data management and data integration
- Hands on experience of various data services on AWS
· Skilled to lay out correct implementation strategy of event-driven data integration as per business needs
· Industry experience in defining & implementing solution using data integration technologies
· Experienced or conversant in emerging tools like parquet and iceberg, databases, and unstructured data. Must understand them sufficiently to guide the organization in understanding and adopting them
Good understanding of implementing & architecting data solutions using the informatica, SQL server/Oracle
Benefits
As per industry norms
About DATAECONOMY
Cloud-first data and AI consultancy helping enterprises modernize data platforms, build AI solutions, and improve business decisions.
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