Roles & Responsibilities

- Create and maintain optimal data pipeline architecture for ETL/ELT into structured data
- Assemble large, complex data sets that meet business requirements and create multi-dimensional modelling like Star Schema and Snowflake Schema
- Expert level experience in creating scalable data warehouse including Fact tables, Dimensional tables and ingest datasets into cloud-based tools
- Identify, design, and implement internal process improvements including automating manual processes and optimising data delivery
- Collaborate with stakeholders to ensure seamless integration of data with internal data marts, enhancing advanced reporting
- Setup and maintain data ingestion, streaming, scheduling, and job monitoring automation using AWS services including Lambda, Code Pipeline, Glue, S3, and Redshift
- Build analytics tools that utilize the data pipeline to provide actionable insight into customer acquisition and operational efficiency
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Utilize GitHub for version control,



code collaboration, and repository management
- Create data tools for analytics and data scientist team members
- Ensure data privacy and compliance with relevant regulations when handling customer data
- Maintain data quality and consistency within the application

Pay: ₹508,966.41 - ₹1,870,159.69 per year

Application Question(s):

- How many recent years of Data engineering experience do you have specifically on AWS?
- Do you have Pharma / Life Sciences / healthcare data experience? (preferred)
- Are you ready to attend an in-office interview on 19th Sep in Bangalore, if required?
- Reason for change?
- What is your current CTC in LPA?
- What is your expected CTC in LPA? (18)
- What is your notice period in days? (15)
- Are you serving your Notice period? If yes, when is the last working day? (max acceptable is till 18th September)

Experience:

- overall: 4 years (Required)

Work Location: Hybrid remote in Bengaluru, Karnataka

📌 Senior Data Engineer (AWS) (India)
🏢 OptimHire
📍 India