Senior Data Engineering cum Architecture
Experience: 7+ Years
Location: Remote
Employment: Full-Time / Contract
Job Overview
We are looking for a Senior Data Engineering cum Architect with strong expertise in Dataiku, Python, and SQL to design and implement enterprise-scale data engineering solutions. The ideal candidate should have strong hands-on experience with cloud platforms and the ability to drive data architecture and technical decisions.
Key Responsibilities
- Design and architect scalable data pipelines, ETL/ELT frameworks, and data lake/warehouse solutions.
- Build, deploy, and operationalize end-to-end data pipelines and ML workflows using Dataiku.
- Develop data transformations, automation, and pipeline orchestration using Python.
- Write and optimize complex SQL queries and develop effective data models.
- Design and manage scalable data infrastructure across AWS and Azure.
- Work with services such as S3, ADLS, AWS Glue, Azure Data Factory, Redshift, Synapse, IAM, and security configurations.
- Define data architecture standards, best practices, and technology strategies.
- Collaborate with cross-functional teams and provide technical leadership.
Required Skills
- 7+ years of experience in Data Engineering / Data Architecture.
- Mandatory: Dataiku, Python, and Advanced SQL.
- Strong experience with data pipelines, ETL/ELT, data lakes, and data warehouses.
- Hands-on experience with AWS and Azure cloud ecosystems.
- Strong understanding of data architecture, modeling, security, and scalability.
- Excellent problem-solving, communication, and technical leadership skills.
Preferred Candidate
Candidates who have hands-on Dataiku experience along with strong cloud data engineering and architecture expertise are highly preferred.
Work Mode: Remote
Pay: ₹1,800,000.00 - ₹2,000,000.00 per year
Work Location: Remote
