Senior Gen AI Engineer
New
W
Weekday AIData engineering and analytics
Workable workplace: remote; Workable locations: India; Location: IndiaFull-TimeSenior
Salary1,000,000 - 6,500,000 INR per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years of professional experience
- Required Skills
- AWSPythonSQLGCPAzureData engineeringDatabricks
Requirements
- Have 5+ years of professional experience in data engineering, analytics engineering, data platforms, or a related technology role.
- Have strong experience designing and developing scalable data pipelines and data processing solutions.
- Have hands-on experience with Databricks and modern cloud-based data platforms.
- Understand data engineering concepts, data modelling, ETL/ELT, and distributed data processing.
- Have experience with one or more major cloud platforms: AWS, Azure, or GCP.
- Have strong programming and scripting skills in Python, SQL, Scala, or Java.
- Have experience with relational and non-relational databases and large-scale datasets.
- Understand data architecture, integration patterns, performance optimisation, and data quality.
- Have experience supporting analytics, business intelligence, machine learning, or AI-driven use cases.
- Have experience working in agile technology environments and driving projects from requirements through production.
Responsibilities
- Design, develop, and maintain scalable data engineering and analytics solutions.
- Build batch and real-time data pipelines and develop data platforms and workflows using Databricks and cloud technologies.
- Integrate structured and unstructured data sources and support analytics, reporting, and AI-driven applications.
- Design data models and optimise data processing workflows for performance, scalability, reliability, and cost.
- Implement data quality, validation, monitoring, and governance practices.
- Translate business requirements into scalable technical and data solutions with cross-functional teams.
- Troubleshoot pipeline, processing, performance, and integration issues.
- Develop reusable data engineering frameworks, components, and best practices.
- Support deployment, monitoring, and maintenance of production data solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
