Assistant Manager | Data Engineering | Pune | Engineering as a Service/ Operate

About the role

We are looking for a hands-on Data Engineering Lead to lead the design, implementation, and delivery of large-scale cloud-based data engineering solutions. The ideal candidate will have strong expertise in data lakes, cloud platforms, ETL/ELT pipelines, and modern data architecture while managing technical teams and client engagements from pre-sales through project delivery.

What you'll do

• Lead the design and implementation of scalable cloud-based data engineering solutions and data lakes
• Drive pre-sales activities, including client discussions, solution design, technical proposals, and Proof of Concepts (PoCs)
• Design secure and scalable data storage architectures using AWS, Azure, or GCP
• Build and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies
• Develop efficient data transformation and processing workflows using serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions

What you need

• 8–10 yrs of experience
• SQL
• ETL
• AWS
• Python
• Azure Data Factory
• Spark
• Any graduate

Good to have

• CI/CD
• Databricks
• Redshift
• BigQuery
• GCP
• Azure